- IES International Journal of Artificial Intelligence
Review of artificial intelligence in smart wearable devices under internet of things communication
Review of ChatGPT tools in education systems based on literature
Evolutionary trends in automatic speech recognition with artificial intelligence: a systematic literature review
Securing cloud data with machine learning: trends, gaps, and performance metrics
Exploring artificial intelligence adoption challenges: bridging the technology gap for marketing advancements
Artificial intelligence in writing: unveiling a research landscape
A survey on leveraging artificial intelligence tools for enhancing advanced mathematical education and problem-solving
A comprehensive survey of cyberbullying on social media: challenges, detection, AI-based prevention
Artificial intelligence in orthodontics: modeling decision support systems for treatment planning
Artificial intelligence framework for multi-stage lung disease detection with audio signals
Real-time object detection to classify export quality of mangos teen using variants of you only look once version 8
Automated data exploration with mutual information in natural language to visualization
Malware detection using convolutional neural network-di strategy polar fox optimization algorithms
An AI-driven framework for efficient and accurate calibration of electricity meters using extreme gradient boosting
An exploratory review on conceptualizing generative artificial intelligence literacy
Mohammed Afandi Zainal, Mohd Effendi Mohd Matore, Siti Mistima Maat
Venture capital and risks in growth stages of artificial intelligence tech start-ups
Sara Aziz, Noorlizawati Abd Rahim
Uday Mande, Shafi Pathan, Pankaj Chandre, Sharvari Mande
Assessing student perspectives on ChatGPT in higher education: a quantitative analysis
Muhammad Amin, Bimaa Mustaqim, Wegig Pratama, Abdul Muin Sibuea
Izzul Fatawi, Muhammad Roil Bilad, Muhammad Asy'ari
Noor Aida Syakira Ahmad Sabri, Nur Athirah Syafiqah Noramli, Muhammad Ikhsan Roslan, Nurlaila Ismail, Zakiah Mohd Yusoff, Ali Abd Almisreb, Mohd Nasir Taib
Intelligent self-organizing microservice composition using hybrid learning for neonatal ward
Sharon Poornima, Ashok Immanuel V
An intelligent and explainable IoT-Edge-Cloud architecture for real-time water quality monitoring
Sara Bouziane, Badraddine Aghoutane, Aniss Moumen, Anas El Ouali, Ali Essahlaoui, Abdellah El Hmaidi
Generative artificial intelligence as powered writing tools in academic writing
Exequiel B. Gonzaga, Nasrah A. Manguda, Rodelina B. Tado, Ivy F. Amante, Rovy M. Banguis, Shem A. Cedeño, Joveth Jay D. Montaña, Jai Rondo S. Apilar
Automated bacteria and fungi classification using convolutional neural network on embedded system
Tarik Bouganssa, Maryem Ait Moulay, Samar Aarabi, Abedelali Lasfar, Abdelatif EL Afia
Shalini Mirle Gajendra, Naveen Kalenahalli Bhoganna
Kavitha Magadi Gopalakrishna, Raviprakash Madenur Lingaraju, Ananda Babu Jayachandra
Fernando Alvarado, Ricardo Yauri
Duong Huu Ai, Van Loi Nguyen, Khanh Ty Luong
Knowledge graph-based enhanced virtual network embedding for 6G cloud datacenter deployment
Shourok Abdelrahim, Samy Ghoniemy, Mohamed Aborizka
Extending AI acceptance theory: trust and psychological enables in faculty adoption of ChatGPT
Augmented reality-enabled accounting pedagogy: effects on learning and student engagement
Design and implementation of a JavaScript-based image steganography system
Focus
GenAI higher education: opportunities and challenges
Towards responsible GenAI adoptionin HEIs: a conceptual human-Centric integrated framwork
A Dual-Channel CNN framwork for binaural sound source localization
Integrating fraud triangle theory with ML for fraud detection: a systematic review and FTT-Meta conceptual framework
Application of artificial intelligence in academic libraries: a data driven analysis
Machine learning techniques for malicious URL detection: a review
A knowledge graphs-based system for personalized drug allergy evaluations and recommendations
Breast cancer prediction using ML techniques and explainable AI
Breaking the language barrier: a deep learning-powered Indian sign language translator
Evolution of software-defined networking: from legacy to modern infrastructure
A farmer-friendly mobile framework for real-time pest and disease detection and remedial guidance using deep learning with multilingual and offline support
ML-based model for identification of the cause and implications of network downtime on the Nigerian banking system
Early prediction of type-2 diabetes using machine learning algorithms
AI for cybersecurity threat detection: a comprehensive review
Legal document analyzer and lawyer connect: an offline AI system for legal guidence
Counterfactual demand forecasting for retail promotions using bayesian casual forests
Multimodal pilot fatigue detection: a review of psychological signals, deep learning and explainable human-centric AI
Design and development of a mobile-based emergency vehicle alert system
AI in the everyday: machine learning’s role in reshaping digital culture and practices
JoyNest: an intelligent web-based event planning and vendor recommendation system
Explainable AI-based intelligent closed-loop drug delivery system for mean arterial blood pressure (MABP) using controlled drug administration
A multimodal deep learning framework for predicting social demeanor through sentiment analysis of social media videos
Privacy risk detection system for social media
Early detection of fake news in social media: a hybrid multimodal architecture
An intelligent facial recognition-based automated student attendance system with schedule integration and absentee notification for educational institute
From cloud to edge: advancing real-time AI applications
Artificial intelligence in autonomous systems: applications, challenges, and future directions
ABC-SVM: artificial bee colony optimization for future selection in medical diagnosis: a comprehensive survey
Distributional forecasting of the U.S. stock market with generalized additive models for location, scale and shape
A conceptual model for integrating geospatial standards into GIS audit framework
On the utility of pose estimation models for golf swing understanding
Cumulative link modeling of ordinal outcomes in the national health interview survey data: application to depressive symptom severity
Uganda decides 2026: a comprehensive computational analysis of digital political discourse from January to November 2025
Bootstrap implementation of Mardia’s K2 test and performance comparison
Supervised machine learning predictive modeling of survival times of malignant glioma patients
Best practices of CI/CD adoption in java cloud environments: a review
Hierarchical deep learning with nature-inspired optimization for robust network intrusion detection
DIST-C-SEGAN: a novel distributed dimension reduction neural framework for visual data
Enhanced brain tumor image segmentation using U2 -net with dual attention mechanism
Improved ant colony algorithm for energy storage power optimization in multi-power distribution networks
Extraction of film-mulched tobacco fields and estimation of tobacco planting area based on deep learning and high-resolution remote sensing images
Tobacco plant counting based on improved YOLOv8 and UAV remote sensing images
Knowledge distillation and distribution calibration for few-shot object detection
Complicated scene classification using a deep active learning paradigm for wetland remote sensing analysis
Enhancing fairness and explain ability in student performance prediction using bias mitigation techniques
EGOOSE-LightGBM model-based identity recognition using cough acoustic signal analysis
Multimodal large language model for gloss-free video sign language translation
Multiclass fetal abnormality detection using ensemble deep learning techniques
ID-RTDETR: an efficient cross-scale fusion algorithm for insulator detection
MP-Transformer: a hybrid model integrating multi-period ARIMA and dynamically gated attention for time-series forecasting
Obstacle avoidance path planning and robust tracking control of quadrotor UAVs under uncertain disturbance
Image style transfer for visual design using starGANv2 and attention mechanism
CogniRAG: integrating casual hyperedges and counterfactual reasoning for knowledge-intensive tasks
Unsupervised cycleGAN-based model for optimizing depth-of field effects in photographic image
Research on underground coal mine object detection based on image enhancement and YOLOv11
Enhancing public affairs text classification via BERT-CNN-BiLSTM feature fusion
Preface to the special issue on computer assisted methods in architecture and urban planning
Combining indoor and outdoor positioning for navigation in AR environments
Digital tool supporting the documentation and analysis of culture heritage: the case of the analytical 3D model of the zamo fortress
The impact of point cloud simplication on the accuracy of the viewshed
Possibilities for obtaining terrain models, orthophoto maps, and point clouds with the use of a multirotor UAV
Peer review for funding decisions
The science of scientific prizes
From definitions to implementation – a guide to collect and apply the lancet commission on global surgery indicators: an utstein consensus report
Evidence of studying interactions between science and policy: an exploration of scholarly and policy references in overton-indexed policy documents
APC waivers and Ukraine’s publishing output in gold OA journals: evidence from five commercial publishers
Is more always better? Measuring the quality of ranking data through information entropy
Understanding terms and productivity in information retrieval research: academic, industry, and cross-community collaborations
Measuring the scientific impact of academic papers based on weighted heterogenous scholarly network
Multidimensional quantitative analysis of China’s science and technology talent policy fit
Industry-university-research collaboration networks: the identification and driving factors of key technologies
Diffusion and Integration of Circular Economy into Mainstream Disciplinary Discourse
Multi-Dimensional Comparative Analysis of Patent-to-Patent Citations and Patent-to-Paper
Evolving Scientific Collaboration Among EU Member States, Candidate Countries and Global
Responsible Research Assessment and Open Science in Practice: Evidence from a Spanish
Beyond the Oligopoly: Scholarly Journal Publishing Landscapes in Latin America and Europe
Identifying Technological Opportunities in 6G Frontier Technologies: A Science-Technology
Perception to Cognition: Patent Value Assessment Based on Large Language Model Semantic
Scoring Structured Academic Documents with Large Language Models: Impact Case Studies
The Evolution of the Map of Science in a Multilevel Structure as Derived from Clarivate’s Web of
The Flemish Organization Registry (FOR). A Globally Connected Infrastructure to Identify the Full
Completion and Updating Behaviour in ORCID Profiles: Evidence from ERC-Funded Researchers
Beyond Realism: A Utility-Fidelity-Privacy Framework for Trustworthy Synthetic Data
Beyond Retractions: A Topic-Based Analysis of the Impact and Lifespan of Retracted Papers
The Institutional Boundaries of Academic Retraction: Evidence from the Technical Diffusion of
Diffusion and Integration of Circular Economy into Mainstream Disciplinary Discourse
Multi-Dimensional Comparative Analysis of Patent-to-Patent Citations and Patent-to-Paper Citations
Evolving Scientific Collaboration Among EU Member States, Candidate Countries and Global Partners: 2000–2024
Responsible Research Assessment and Open Science in Practice: Evidence from a Spanish Research Funding Call
Beyond the Oligopoly: Scholarly Journal Publishing Landscapes in Latin America and Europe
Identifying Technological Opportunities in 6G Frontier Technologies: A Science-Technology Semantic Association and Combination Graph Approach
Perception to Cognition: Patent Value Assessment Based on Large Language Model Semantic Enhancement and Ensemble Learning
Scoring Structured Academic Documents with Large Language Models: Impact Case Studies
Is Human–Computer Interaction Becoming More Interdisciplinary? Evidence from Knowledge Integration Over the Past Two Decades
The Evolution of the Map of Science in a Multilevel Structure as Derived from Clarivate’s Web of Science
The Flemish Organization Registry (FOR). A Globally Connected Infrastructure to Identify the Full Spectrum of Organizations Involved in Research and Innovation
Completion and Updating Behaviour in ORCID Profiles: Evidence from ERC-Funded Researchers in Spain
Beyond Realism: A Utility-Fidelity-Privacy Framework for Trustworthy Synthetic Data
Beyond Retractions: A Topic-Based Analysis of the Impact and Lifespan of Retracted Papers
The Institutional Boundaries of Academic Retraction: Evidence from the Technical Diffusion of mlncRNA Research
KrishiMitra - Development of a hybrid deep-learning algorithm for detection od diseases in tree leaves
A hybrid deep learning framework with complementary feature fusion for automated multi-class waste sorting
Restoring and processing images by applying geometric transformations with respect to a reference image
An exploring artificial intelligence in modern image creation
Prompt engineering techniques in large language models: a study
AharixAI – AI based personalized diet planner
Multimodal face recognition using motion sensors and voice input
A data-driven automata-theoretic framework for emotional state recognition through music interaction dynamics
The role of regression analysis in data-driven research: foundation and real-life applications
ABC-SVM: a novel artificial bee colony optimization framework for optimal feature selection in breast cancer diagnosis
Type-2 fuzzy logic systems for robust medical diagnosis under deep clinical uncertainty: a comparative study with type-1 models
An investigative study of fuzzy cognitive maps for strategic farm management
Fuzzy logic-based medical diagnosis system for handling uncertainty in healthcare data
Smart traffic signal control system based on fuzzy logic control
A quantum-inspired fuzzy soft computing and machine learning framework for adaptive and intelligent decision making under uncertainty
AI-based travel planning system using large language models
An integrated approach of the modern expert system and its application
Implementation of an AI-assisted textile waste valorization platform for circular fashion ecosystems
Human-centered context-aware student stress detection using LSTM- based academic behavior analytics
Smart cost estimation for construction planning: an automated framework leveraging computer vision and collaborative filtering
TradeWarNet: a causal attention-based graph framework for analyzing trade war shocks in financial markets
Extended reality as the next generation of interactive and reality-based digital experience: applications, benefits, and challenges
Governance and evolution framework for agentic AI systems in enterprise operations
AI-enabled robotic multimachine operation and intelligent production management system
Big data in the modern ere: technological advances, management practices, and research challenges
A smart management system for optimizing campus canteen operations
A graph-based bottom-up salient object detection framework using objectness cues and multilayer cellular automata
An experimental study on supervised learning and random forest feature selection for edible and toxic mushroom classification
Climate-aware crop yield prediction across Indian agro-climatic zones using hybrid deep learning and zone-specific transfer learning
Data-driven drought monitoring using satellite-derived indices: a google earth engine and python-based framework
AI-Driven innovations in clinical diagnosis and personalized treatment
Integrating internet of things-connected wearable devices for patient monitoring using deep sparse autoencoder and optimization algorithm in smart healthcare
Neural network-driven classification of epilepsy EEG data
Bayesian optimization of hyperparameters for rainbow DQN in the cartpole-V1
Design and algorithmic validation of a hybrid Q-Learning and generative AI framework for adaptive learning architectures
Computer vision-based multiclass road disturbance classification using deep learning
Discover employee sustainability understanding through text-driven HR analytics
Evaluating Apache Hadoop in telecommunication big data: scoping review and scientometrics analysis
Anatoformer: enhancing breast cancer diagnosis using transformer-based spatial analysis and latent represenration learning
Analysis and prediction of cybersecurity threats in India using machine learning and deep learning techniques
Machine learninf-based prediction and classification of parkinson's disease using vocal features
An enhanced explainable pedictive framework for COPD patient readmission using shap-guided feature optimization and temporal modeling
Fine-tuned deep CNN models for high-accuracy plant disease detection: a comparative study
AASMA: an adaptive agent-based smart multimodal assistant for proactive healthcare
An ensemble learning framework for reliable multiclass thyroid disorder diagnosis using clinical data
Chemical compounds recoomendation engine based on skin types using retrieval-augnented generation and optical character recognition
A lightweight text-based unimodal framework for emotion recognition in conversations
Empowering Tamil characters recognition with alexnet and vision transformer
AI-powerd petvet assistant: smart disease detection and care recommendations for pets
An extensive analysis of the software companies effectiveness in India
An enhanced CARSA framework for secure and efficient access to outsourced cloud data
Data mining framework for aasing rural respiratory disease risk from agrochemical drift using weather-clinical data
Hybrid data mining framework for integrating crop yield forecasting with weather-based public health risk surveillance
deep learning and machine learning based hybrid optimization framework for enhanced website performance tuning
Hybrid neuro-fuzzy genetic framework for early warning systems using soil microclimate data analytics
Performance analysis of deepfake video detection using deep learning model
A modified approache of analysing feature extraction from patient sentiments using word embedding and vector representation
Attention-guided joint CNN-neuro-fuzzy learning for explainable multilingual signature verification
CNN-U-Net hybrid model with adaptive attention mechanism for medical image segmentation
Performance evaluation of container orchestration platforms for web services: kubernetes vs. mesos vs. docker swarm-
Chaotic butterfly optimization algorithm for automatic clustering of multidimentional data-
Solving fuzzy sequencing problems based on the geometric mean of the horizontal pointa on the reference functions-
A review and comparative analysis of refreshable braille displays-
An edg-optimization food quality evaluation framework using histogram features and compact neural networks-
An explainable hybrid genetic optimization framework for intelligent business analytics and strategic decision support-
Assessing the efficacy of traditional and advanced predictive techniques in electricity demand forecasting in the Assam region-
Onevoice: a code-mixed rag framework for multilingual student support-
Hybrid CNN_VIT architecture for accurate ling nodule classification-
Development of googlr sites equioed with instructional videos to improve understanding of basic electronics engineering-
A comprehensiv overview of large language models and GPT family-
Comparative evalution of pre-trained deep learning models for brain tumor classification using MRI images-
Evaluating the influence of artificial intelligence feedback on human confidance and decision accuracy in complex problem-solving task-
Neuro-Fuzzy evolutionary framework for cross-modal forecasting in digital media supply chain management
Evolutionary optimized fuzzy CNN-BILSTM fusion model for visual sentiment forecasting in sicial media streams applications
Spatiotemporal feature extraction and reinforcement learning for adaptive optimization of multimedia quality in dynamic networks
Hybrid deep neural video watermarking framework with attention-driven robust embedding and intelligent tamper detection
Adaptive multimedia optimization using generative adversarial networks and attention-based deep feature learning framework
Enhanced bias mitigation and scrupulous 3D reconstruction in 2D brain MR imaging: a multi-layered approach
CSDE: a correlation-based evolutionary approach for 3D face depth estimation
Supervised deep learning on hybrid approach of compressed counter-informed texture feature approach for palmprint recognition
DA-MMHAR: domain-adaptive multimodal AI models for cross-user and cross-environment human activity recognition
Prediction of abnormal neural circuits for diagnosis of alzheimer's disease
A hybrid CAD approach using VGG-16, RAS-UNET for microaneurysm detection in diabetic retinopathy
Development of FIARASS: a noise-resilient facial image enhancement system for customer emotion recognition
Enhanced 3D STL model reconstruction from CT medical images using contour filtering and delaunay triangulation-
A structured framework for automated ultrasound-based uterine fibroid classification using a hybrid quantum-classical convolution neural network-
Multi-scale temporal transformer learrning for accurate parkinson's disease classification from heterogeneous biomedical signals-
A dual-path contrasive CNN-transformer framework for robust and discriminitive melanoma classification from dermoscopic images-
Real-time video super-resolution using a temporal-window transformer with efficient motion-aware feature reconstruction-
Attention-driven vision capsule transformer for glaucoma diagnosis and optic disc segmentation from fundus images-
Real-time phising detectionusing feature extraction and hybrid ensemble models-
SC-M2U: mapping spatial composition in images to multi-track music through cross-modal gated alignment-
Coronary artery disease prediction using an explainable deep cardiac transformer framework-
A study on abnormality detection and classification of disease using digital image processing techniques with a case study on MRI and X-Ray images of animals-
DETSEG: a novel hybrid coarse-to-fine framework integrating yolov8 and U-net with sahi-enhanced detection for automated polyp lpcalization and segmentation in colonoscopy-
Improving timeliness alert in AI driven assits systems-
Cap-Yolo: texture residual prior encoding for lightweight yolo-based fabric defect detection-
Relay pursuit-vathana: a novel optimization approach for feature selection in software defect prediction
A new deep learning-based approach for IoT task offroading in multiaccess edge computing
Enhanching quantum state transmission fidelity through quantum orthogonal frequency division multiple access
Beyond JA4++: flow statistics vs. TLS fingerprinting for encrypted malware detection
Fuzzy linguistic signatures
A hybrid syntactic-statistical-semantic framework for detecting
AI-generated text across domains
Content credentials: trust issues, technical solutions and future perspectives
Using encrypted metadata in image processing
Rate-splitting multiple access for satellite short-packet communications: finite blocklength modeling and reliability analysis
Evaluating data transmission performance in 5G mmwave networks using multi-layer transmission and MIMO technology
A review of security challenges and intrusion detection mechanisms to mitigate sub-optimization attacks in RPL-based 6LoWPAN IoT networks
Path planning transformer supervised by improved RRT* with reduceed random map size for mobile robots
Balancing Cost and Latency .......................
Emulating the SDN-Enabled Computing Continuum through Lightweight
Virtualization ...........
Introducing Neural Mesh for Logical Synthesis Models ........
Design and Numerical Analysis of 45-degree Polarization
Rotator for Quantum Cryptography ................
Supply Chain Logistics Demand Modeling and Abnormal Warning Based on Autoformer .............................
Federated Reinforcement Learning for Load Balancing in O-RAN 5G and Beyond Networks .....
Convolutional and Variational Autoencoders with Supervised Classifiers for RF Spectrum Anomaly Detection ......
MTL-BERTNet: A Multi-Task Learning Framework for Aspect and Sentiment Analysis in MOOC Reviews ................
YOLOv8-Based Firearm Detection for Real-Time Video Surveillance Applications........................
Optimized Secure Clustering Scheme for Wireless Sensor Networks
Synchronized Real-time Communication In The Eclipse Arrowhead Framework .................
Bridging theory and practice: advanced algorithmic techniques for modern computing
Cyber-gurukul architecture using artificial intelligence and Indian knowledge traditions: a systematic review
Intelligent AI-driven nanobots for early detection and targeted management of esophageal tumors: an integrated review of nanotechnology, artificial intelligence, and medical nanorobotics
A review of multi-layer semantic chunking and enhanceed retrieval-augmented generation frameworks
Tabletalk: a smart AI-powered framework for restaurant recommendation and reservation
Edge-enabled communication networks: architecture, challenges, and applications for low-latency systems
A review on intrusion detection system
Latency reduction and performance optimization in edge-enabled networks
The role of blockchain in revolutionizing web series production and distribution on streaming platforms
Towards 6G networks: a comprehensive review of enabling technologies, challenges, and future research directions
Tridoshai: integrating tridosha theory with machine learning for personalized wellness
Astronomy then and now: using machine learning to validate ancient celestial knowledge
Object detection in real-world images using deep neural networks: trends and challenges
Recent advances in image compression techniques: from traditional methods to deep learning models
Noise removal and image restoration using hybrid filtering CNN-based approaches
NLP-powered text analytics for cloud platforms intelligent workload forecasting and proactive autoscaling
Evaluation of outcome of resources utilized for library science
IoT in the era f 5G, AI, and edge computing: architectures, applications, and security perspectives
Forecasting air quality index (AQI) using machine learning models: a comparative study
Cyber security framework for gurukul 20.: safeguarding digital heritage and smart learning ecosystems
Enhancing healthcare RFID asset tracking: a multy-objective optimization approch considering network delay, false identification, and energy efficient
Usability concerns and design solutions in mobile health applications for older adults
Collision-free tool path optimization for Louver geometries using an adaptive particle swarm framework
Enhancing IoT cybersecurity with multi-layer deep transfer approach for instriusion detection
Personilizing e-commerce experiences: a machine learning framework for dynamic gamification and customer engagement
Hybrid approach to instance matching
A respiratory management framework by combining large language models and convolution neural networks for effective diagnisis
Optimizing wireless spectrum utilization: a raxonomic analysis spectrum sensing techniques
Nondestructive concrete crack detection using deep learning
Modeling multi-class mal-information detection: a comparative analysis of machine learning and deep learning approaches
Intelligent data analytics framework using ensemble-attention based deep learning approach for network instrusion detection
The role of big data in advancing artificial intelligence: methods and case studies
Visual analysis of machine learning models for multichannel time series classification
A hybrid federated learning framework with differential privacy for healthcare information system: performance analysis and security evaluation
Multi-year food inundation modelling in Kolhapur, India using SAR observations and machine learning
MLOps 2.0: a reference architecture for CI/CD with always-on data quality gates
Artificial intelligence in digital marketing: readiness and adoption among Nigerian enterprise
BotVision: robust botnet detection using gan-augmented transfer learning on adversarial image data
Karma flows-moral foundations theory giving AI and moral compass
Big data pipeline architecture: building the reliability of real-time messaging system on apache kafka
A systematic review of AI-driven approaches for mitigating cybersecurity
GDELT successor project: "K-N-GDELT" and modelling geopolitical risk with the geopolitical risk index
Source credibility assessment in the realm of information disorder: a literature review
Recommender systems: learning collaborative filtering similarity measures using siamese networks
PRESTO: a recommender of musical collaborations based on heterogenous grapg neural networks
Robust federated learning with contrastive learning and meta-learning
Multi-class dental CBCT segmentation in data-constrained scenarios through transfer
AI prediction and teaching strategies for a two-phase engine in a smart learning platform
Blending language models and domain-specific languages in computer science education. A case study on API RESTFull
The application of large language models and virtual assistants in project management research: a review
AI powerd commentary and camera direction in E-sports
Energy-efficient reconfigurable for Edge AI in healthcare IoT: trends, challenges, and future direction
FPGA implementation of a coprocessor architecture for random data generation and encryption
Optimizing call centre agent efficient through deep learning-based classifications using SMFCCAE
Deployment and evaluation of facial expression recognition on android and temi V3 in controlled settings
Online method for identifying thevenin model parameters of li-ion batteries and estimating SOC using EKF
FPGA implementation of high-performance huffman encoder for image processing applications
Portable verification IP: a UVM-based approach for reusable verification environments in complex IP signals
FPGA implementation and bit error rate analysis of the forward error correction algorithms in voice signals
An edge AIoT system for non-invasive biological indicators estimatio and continous helth monitoring using PPG and ECG signals
Home grocery listing hardware system and mobile application with speech recognition feature
Inquisitive biometric feature analysis and implementation for recognition task using camouflaged segmentation with AI and IoT
Energy-efficient multilevel inverter for electric vechicles using wireless sensors network monitoring
Multi-model sensor integration in chicken-fish-vegetable greenhouse agriculture based on internet of things
IoT cloud integration with efficientnet-B7 for real-time pest monitoring and leaf-based classification
Learning customer preference dynamics using rank-aware matrix factorization and enhanced collaborative filtering model
Design of a solar system with a PID controller based on the tyrannosaurus optimization algorithm
Heart disease prediction using hybrid deep learning and medical imaging with wavelet-based feature extraction
ELLMW: an enhanced vision-language model for reliable text extraction from manually composed scripts
Design and development of an enhanced U-shaped microstrip antenna for super wideband applications in net-generation wireless systems
Advanced MRI-based deep learning for brain tumors: a five-year review of oncology-radiology-AI synergy
Synaptic shield: fusion of ResNext-50 and long short-term memory for enhanced deepfake detection
HDGC-hybrid task offloading framework using deep reinforcement learning and genetic algorithms for 6G edge cloud
Design and implementation of a novel approximate carry look ahead adder for low-power FIR filter applications