Journal Articles 

2025

1. Battineni, G., Chintalapudi, N. and Amenta, F. (2025), "Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model", Applied Computing and Informatics, Vol. 21 No. 1/2, pp. 2-11 (IF: 12.3) 

2. Bhimavarapu U, Battineni G, Chintalapudi N. Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization. Bioengineering. 2025; 12(2):200 (IF:3.8) 

3. S. R, Battineni G. A Survey on Recent Advancements in Auto-Machine Learning with a Focus on Feature Engineering. J Comput Cogn Eng. 2025;4(1):56-63. doi:10.47852/bonviewJCCE3202720 

4. Battineni G, Chintalapudi N, Di Canio M, Amenta F. Enhancing in-flight medical response: the importance of physicians in managing airborne emergencies. Disaster Emerg Med J. January 2025. doi:10.5603/DEMJ.101328 

2024

1. Battineni G, Chintalapudi N, Amenta F Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis JMIR Aging 2024;7:e59370 DOI: 10.2196/59370 (IF:5.0)

2. Battineni G*., Chintalapudi N., Ricci G. et al. Exploring the integration of artificial intelligence (AI) and augmented reality (AR) in maritime medicine. Artif Intell Rev 57, 100 (2024). (IF:12.0)

3.  Battineni G*, Arcese A, Chintalapudi N, Di Canio M, Sibilio F, Amenta F. Approaches to Medical Emergencies on Commercial Flights. Medicina. 2024; 60(5):683. (IF: 2.6)

4. Bhimavarapu U, Chintalapudi N, Battineni G*. Automatic Detection and Classification of Hypertensive Retinopathy with Improved Convolution Neural Network and Improved SVM. Bioengineering. 2024; 11(1):56. (IF: 4.6)

5. Bhimavarapu U, Chintalapudi N, Battineni G*. Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier. Bioengineering. 2024; 11(3):266. (IF: 4.6)

6.  Sagaro GG, Di Canio M, Battineni G, Ricci G, Amenta F. Self-reported diabetes mellitus among seafarers: occupational and sociodemographic predictors. Int Marit Health. 2024;75(1):19-28.  (IF: 2.2)

7. Mahdi, S.S., Ullah, Z., Battineni G. et al. The Telehealth chain: a framework for secure and transparent telemedicine transactions on the blockchain. Ir J Med Sci (2024). (IF: 2.1)

2023

1. Battineni G*, Chintalapudi N, Gagliardi G, Amenta F. The Use of Radio and Telemedicine by TMAS Centers in Provision of Medical Care to Seafarers: A Systematic Review. J Pers Med. 2023;13(7). (IF: 3.4)

2. Sagaro GG, Angeloni U, Marotta C, Nittari G, Rezza G, Silenzi A, Battineni G, Amenta F. The Magnitude of Cardiovascular Disease Risk Factors in Seafarers from 1994 to 2021: A Systematic Review and Meta-Analysis. J Pers Med. 2023 May 20;13(5):861. (IF: 3.4)

3. Mahdi SS, Jafri HA, Allana R, Battineni G, Khawaja M, Sakina S, et al. A systematic review on the current state of disaster preparation Simulation Exercises (SimEx). BMC Emerg Med. 2023;23(1). (IF: 2.8)

4. Gujjar V, Mago N, Kumari R, Patel S, Chintalapudi N, Battineni G*. A Literature Survey on Word Sense Disambiguation for the Hindi Language. Inf. 2023;14(9). (IF: 3.1)

5. Sagaro GG, Angeloni U, Battineni G, Chintalapudi N, Dicanio M, Kebede MM, et al. Risk prediction model of self-reported hypertension for telemedicine based on the sociodemographic, occupational and health-related characteristics of seafarers: A cross-sectional epidemiological study. BMJ Open. 2023;13(10). (IF: 3.1)

6. Bhimavarapu U, Chintalapudi N, Battineni G*. Multi-Classification of Lung Infections Using Improved Stacking Convolution Neural Network. Technologies. 2023;11(5). (IF: 3.6)

7. Bhimavarapu U, Chintalapudi N, Battineni G*. Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network. Diagnostics. 2023;13(15). (IF: 3.6)

8. Bhimavarapu U, Battineni G, Chintalapudi N. Automatic Classification of Hypertensive Retinopathy by Gray Wolf Optimization Algorithm and Naïve Bayes Classification. Axioms. 2023;12(7). (IF: 2.0)

9. Bhimavarapu U, Battineni G*. Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function. Healthc. 2023;11(1). (IF: 2.8)

10. Bhimavarapu U, Battineni G, Chintalapudi N. Improved Optimization Algorithm in LSTM to Predict Crop Yield. Computers. 2023;12(1). (IF: 2.8)

11. Mahdi SS, Battineni G*, Khawaja M, Allana R, Siddiqui MK, Agha D. How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare. Int J Inf Manag Data Insights. 2023;3(1). (IF: 10.5)

12. Mahdi SS, Yaqoob R, Allana R, Battineni G, Sakina S, Agha D, Andiesta NS, Babar MG, Ahmed Z, Daood U. Monkeypox resurgence and its implications for Dentistry - A scoping review. Ig Sanita Pubbl. 2023 Mar-Apr;80(2):49-59.

13. Chintalapudi N, Dhulipalla VR, Battineni G, Rucco C, Amenta F. Voice Biomarkers for Parkinson’s Disease Prediction Using Machine Learning Models with Improved Feature Reduction Techniques. J Data Sci Intell Syst. 2023 Apr 17;1(2):92–8.

2022

1. Battineni G*, Hossain MA, Chintalapudi N, Amenta F. A Survey on the Role of Artificial Intelligence in Biobanking Studies. Diagnostics. 2022;12(5). (IF: 3.2)

2. Battineni G*, Chintalapudi N, Amenta F. Model discovery, and replay fitness validation using inductive mining techniques in medical training of CVC surgery. Appl Comput Informatics. 2022;18(3–4):245–55. (IF: 16.3)

3. Battineni G*, Chintalapudi N, Amenta F. Maritime Telemedicine: Design and Development of an Advanced Healthcare System Called Marine Doctor. J Pers Med. 2022;12(5). (IF: 3.6)

4. Battineni G*, Chintalapudi N, Zacharewicz G. Process Mining in Clinical Practice: Model Evaluations in the Central Venous Catheter Installation Training. Algorithms. 2022;15(5). (IF: 2.3)

5. Battineni G*, Chintalapudi N, Hossain MA, Losco G, Ruocco C, Sagaro GG, et al. Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review. Bioengineering. 2022;9(8). (IF: 4.6)

6. Naim S, Spagnuolo G, Osman E, Mahdi SS, Battineni G, Qasim SSB, et al. Quantitative Measurements of the Depth of Enamel Demineralization before and after Bleach: An In Vitro Study. Biomed Res Int. 2022;2022.

7. Khandelwal A, Janani K, Teja K, Jose J, Battineni G, Riccitiello F, et al. Periapical Healing Following Root Canal Treatment Using Different Endodontic Sealers: A Systematic Review. Biomed Res Int. 2022;2022.

8. Mahdi SS, Allana R, Battineni G*, Khalid T, Agha D, Khawaja M, et al. The promise of telemedicine in Pakistan: A systematic review. Heal Sci Reports. 2022;5(1).  (IF: 2.0)

9. Chintalapudi N, Angeloni U, Battineni G, Di Canio M, Marotta C, Rezza G, et al. LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining. Bioengineering. 2022;9(3). (IF: 4.6)

10. Bhimavarapu U, Battineni G*. Automatic Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Improved Discrete Particle Swarm Optimization. J Pers Med. 2022;12(2). (IF: 3.4)

11. Mago N, Mittal M, Bhimavarapu U, Battineni G*. Optimized outdoor parking system for smart cities using advanced saliency detection method and hybrid features extraction model. J Taibah Univ Sci. 2022;16(1):401–14. (IF: 3.3)

12. Chintalapudi N, Battineni G, Hossain MA, Amenta F. Cascaded Deep Learning Frameworks in Contribution to the Detection of Parkinson’s Disease. Bioengineering. 2022;9(3). (IF: 4.6)

13. Bhimavarapu U, Battineni G*. Skin Lesion Analysis for Melanoma Detection Using the Novel Deep Learning Model Fuzzy GC-SCNN. Healthc. 2022;10(5). (IF: 2.8)

14. Pandey MK, Saini A, Subbiah K, Chintalapudi N, Battineni G*. Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms. Inf. 2022;13(8). (IF: 3.1)

15. Bhimavarapu U, Chintalapudi N, Battineni G*. A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN. Algorithms. 2022;15(6). (IF: 2.3)

16. Bhimavarapu U, Sreedevi M, Chintalapudi N, Battineni G*. Physical Activity Recommendation System Based on Deep Learning to Prevent Respiratory Diseases. Computers. 2022;11(10). (IF: 2.8)

2021

1. Battineni G*, Pallotta G, Nittari G, Chintalapudi N, Varlaro V, Amenta F. Development of quality assessment tool for websites of the international aesthetic medicine societies. Informatics Med Unlocked. 2021;23. (IF: 8.0)

2. Battineni G*, Sagaro GG, Chintalapudi N, Di Canio M, Amenta F. Assessment of awareness and knowledge on Novel Coronavirus (COVID-19) pandemic among seafarers. Healthc. 2021;9(2). (IF: 3.6) 

3. Battineni G*, Hossain MA, Chintalapudi N, Traini E, Dhulipalla VR, Ramasamy M, et al. Improved alzheimer’s disease detection by MRI using multimodal machine learning algorithms. Diagnostics. 2021;11(11). (IF: 3.4)

4. Battineni G*, Sagaro GG, Chintalapudi N, Amenta F, Tomassoni D, Tayebati SK. Impact of obesity-induced inflammation on cardiovascular diseases (Cvd). Int J Mol Sci. 2021;22(9). (IF: 5.6) 

5. Battineni G*, Sagaro GG, Chintalapudi N, Amenta F. The benefits of telemedicine in personalized prevention of cardiovascular diseases (CVD): A systematic review. J Pers Med. 2021;11(7). (IF: 3.2) 

6. Sagaro GG, Dicanio M, Battineni G, Samad MA, Amenta F. Incidence of occupational injuries and diseases among seafarers: A descriptive epidemiological study based on contacts from onboard ships to the Italian Telemedical Maritime Assistance Service in Rome, Italy. BMJ Open. 2021;11(3). (IF: 2.3) 

7. Chhetri B, Goyal LM, Mittal M, Battineni G*. Estimating the prevalence of stress among Indian students during the COVID-19 pandemic: A cross-sectional study from India. J Taibah Univ Med Sci. 2021;16(2):260–7. (IF: 2.2) 

8. Nittari G, Battineni G, Messinetti M, Campanozzi L, Sirignano A. Critical reflections and solutions for health problems of Italian refugees. Clin Ter. 2021;172(2):158–62.

9. Sagaro GG, Battineni G, Camo MD, Minciacchi A, Nittari G, Amenta F. A descriptive epidemiological study of cardiovascular diseases among seafarers. Int Marit Health. 2021;72(4):252–8. (IF: 2.3)  

10. Chintalapudi N, Battineni G, Amenta F. Sentimental analysis of COVID-19 tweets using deep learning models. Infect Dis Rep. 2021;13(2). (IF: 3.2)

11. Kansal AK, Gautam J, Chintalapudi N, Jain S, Battineni G*. Google trend analysis and paradigm shift of online education platforms during the COVID-19 pandemic. Infect Dis Rep. 2021;13(2):418–28. (IF: 3.2)

12. Aggarwal A, Mittal M, Battineni G*. Generative adversarial network: An overview of theory and applications. Int J Inf Manag Data Insights. 2021;1(1). (IF: 10.5)

13. Chakraborty T, Jamal RF, Battineni G, Teja KV, Marto CM, Spagnuolo G. A review of prolonged post-covid-19 symptoms and their implications on dental management. Int J Environ Res Public Health. 2021;18(10). (IF: 3.3) 

14. Chintalapudi N, Battineni G, Canio MD, Sagaro GG, Amenta F. Text mining with sentiment analysis on seafarers’ medical documents. Int J Inf Manag Data Insights. 2021;1(1). (IF: 10.5)

15. Chintalapudi N, Battineni G, Amenta F. Second wave of COVID-19 in Italy: Preliminary estimation of reproduction number and cumulative case projections. Results Phys. 2021;28. (IF: 5.3)

16. Badr C, Spagnuolo G, Amenta F, Khairallah C, Mahdi SS, Daher E, Battineni G, Baba NZ, Zogheib T, Qasim SSB, Daher T, Chintalapudi N, Zogheib CM. A Two-Year Comparative Evaluation of Clinical Performance of a Nanohybrid Composite Resin to a Flowable Composite Resin. J Funct Biomater. 2021 Sep 9;12(3):51. doi: 10.3390/jfb12030051. (IF: 4.8)

17. Carotenuto A, Traini E, Fasanaro AM, Battineni G, Amenta F. Tele-neuropsychological assessment of Alzheimer’s disease. J Pers Med. 2021;11(8). (IF: 3.2)

18. Sagaro GG, Battineni G, Di Canio M, Amenta F. Self-reported modifiable risk factors of cardiovascular disease among seafarers: A cross-sectional study of prevalence and clustering. J Pers Med. 2021;11(6). (IF: 3.2) 

19. Mittal M, Battineni G*, Singh D, Nagarwal T, Yadav P. Web-based chatbot for Frequently Asked Queries (FAQ) in Hospitals. J Taibah Univ Med Sci. 2021;16(5):740–6. (IF: 2.3)

20. Savva D, Battineni G, Amenta F, Nittari G. Hypersensitivity reaction to hyaluronic acid dermal filler after the Pfizer vaccination against SARS-CoV-2. Int J Infect Dis. 2021; 113:233–5. (IF: 14.8) 

2020

1. Battineni G*, Sagaro GG, Chinatalapudi N, Amenta F. Applications of machine learning predictive models in the chronic disease diagnosis. J Pers Med. 2020;10(2). (IF: 3.6)  

2. Battineni G*, Amenta F. Designing of an Expert system for the management of Seafarer’s health. Digit Heal. 2020;6. (IF: 4.4)   

3. Battineni G*, Chintalapudi N, Amenta F. Performance analysis of different machine learning algorithms in breast cancer predictions. EAI Endorsed Trans Pervasive Heal Technol. 2020;6(23):1–7. (IF: 3.3)

4. Battineni, G., Chintalapudi, N. and Amenta, F. (2024), "SARS-CoV-2 epidemic calculation in Italy by SEIR compartmental models", Applied Computing and Informatics, Vol. 20 No. 3/4, pp. 251-261. https://doi.org/10.1108/ACI-09-2020-0060 . (IF: 12.3)

5. Battineni G*, Baldoni S, Chintalapudi N, Sagaro GG, Pallotta G, Nittari G, et al. Factors affecting the quality and reliability of online health information. Digit Heal. 2020;6. (IF: 4.4)   

6. Battineni G*, Chintalapudi N, Amenta F. Ai chatbot design during an epidemic like the novel coronavirus. Healthc. 2020;8(2). (IF: 3.1)

7. Battineni G*, Chintalapudi N, Amenta F, Traini E. A comprehensive machine-learning model applied to magnetic resonance imaging (MRI) to predict Alzheimer’s disease (ad) in older subjects. J Clin Med. 2020;9(7):1–14. (IF: 3.9)

8. Battineni G*, Sagaro GG, Chintalapudi N, Amenta F. Conceptual Framework and Designing for a Seafarers’ Health Observatory (SHO) Based on the Centro Internazionale Radio Medico (C.I.R.M.) Data Repository. Sci World J. 2020;2020. (IF: 3.3)

9. Mirmoeini SM, Shooshtari SSM, Battineni G, Amenta F, Tayebati SK. Telepediatric assistance in Iran: Specialist and subspecialty challenges. EAI Endorsed Trans Pervasive Heal Technol. 2020;6(23):1–8. (IF: 3.3)

10. Sagaro GG, Battineni G, Chintalapudi N, Canio MD, Amenta F. Telemedical assistance at sea in the time of COVID-19 pandemic. Int Marit Health. 2020;71(4):229–36. (IF: 2.6)   

11. Chintalapudi N, Battineni G, Sagaro GG, Amenta F. COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy. Int J Infect Dis. 2020;96:327–33. (IF: 3.2)  

12. Nittari G, Khuman R, Baldoni S, Pallotta G, Battineni G, Sirignano A, et al. Telemedicine Practice: Review of the Current Ethical and Legal Challenges. Telemed e-Health. 2020;26(12):1427–37. (IF: 4.7)  

13. Chintalapudi N, Battineni G, Amenta F. COVID-19 virus outbreak forecasting of registered and recovered cases after sixty day lockdown in Italy: A data driven model approach. J Microbiol Immunol Infect. 2020;53(3):396–403. (IF: 7.4)

14. Sagaro GG, Battineni G, Amenta F. Barriers to Sustainable Telemedicine Implementation in Ethiopia: A Systematic Review. Telemed Reports. 2020;1(1):8–15. (IF: 1.5)  

2019

1. Battineni G*, Canio MD, Chintalapudi N, Amenta F, Nittari G. Development of physical training smartphone application to maintain fitness levels in seafarers. Int Marit Health. 2019;70(3):180–6. (IF: 2.2)

2. Battineni G*, Chintalapudi N, Amenta F. Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM). Informatics Med Unlocked. 2019;16. (IF: 8.0)

3. Battineni G*, Sagaro GG, Nalini C, Amenta F, Tayebati SK. Comparative machine-learning approach: A follow-up study on type 2 diabetes predictions by cross-validation methods. Machines. 2019;7(4). (IF: 2.7)

4. Battineni G*, Chintalapudi N, Amenta F, Tayebati SK. Report on market analysis and preventions need to provide medications for rural patients of Italy using ICT technologies. Int J Innov Technol Explor Eng. 2019;9(1):5286–9.

5. Nittari G, Pallotta G, Battineni G, Ioannidis N, Tayebati SK, Amenta F, et al. Comparative analysis of the medicinal compounds of the ship’s “medicine chests” in European Union maritime countries. Need for improvement and harmonization. Int Marit Health. 2019;70(3):143–50. (IF: 2.2)

6. Nittari G, Arcese A, Battineni G, Khuman K, Pallotta G, Saturnino A, et al. Design and evolution of the Seafarer’s Health Passport for supporting (tele)-medical assistance to seafarers. Int Marit Health. 2019;70(3):151–7. (IF: 2.2)

7. Mirmoeini SM, Shooshtari SSM, Battineni G, Amenta F, Tayebati SK. Policies and challenges on the distribution of specialists and subspecialists in rural areas of Iran. Med. 2019;55(12). (IF: 2.8) 

Editorial letters

1. Mittal M, Battineni G, Goyal LM, Chhetri B, Oberoi SV, Chintalapudi N, et al. Cloud-based framework to mitigate the impact of COVID-19 on seafarers’ mental health. Int Marit Health. 2020;71(3):213–4. (IF: 2.6)

2. Battineni G*, Kumar S, Mittal M, Amenta F. COVID-19 vaccine on board ships: Current and future implications of seafarers. Int Marit Health. 2021;72(1):76–7. (IF: 2.6)

3. Battineni G*, Nittari G, Sirignano A, Amenta F. Are telemedicine systems effective healthcare solutions during the COVID-19 pandemic? J Taibah Univ Med Sci. 2021;16(3):305–6. (IF: 2.2)

4. Battineni G*, Pallotta G, Nittari G, Amenta F. Telemedicine framework to mitigate the impact of the COVID-19 pandemic. J Taibah Univ Med Sci. 2021;16(2):300–2.  (IF: 2.2)

5. Teja KV, Ramesh S, Vasundhara KA, Janani KC, Jose J, Battineni G. A new innovative automated root canal device for syringe needle irrigation. J Taibah Univ Med Sci. 2022;17(1):155–8.  (IF: 2.2)

6. Sharma R, Mittal M, Battineni G*, Amenta F. Applications of metaverse for improving healthcare at sea. Int Marit Health. 2023;74(2):129–30.  (IF: 2.6)

Book chapters

1. Amenta F, Battineni G, Traini E, Pallotta G. Choline-containing phospholipids and treatment of adult-onset dementia disorders. Diagnosis and Management in Dementia: The Neuroscience of Dementia, Volume 1. 2020. 477–493 p.

2. Battineni G*, Mittal M, Jain S. Data visualization in the transformation of healthcare industries. Vol. 64, Lecture Notes on Data Engineering and Communications Technologies. 2021. 1–23 p.

3. Ravi Shankar S, Battineni G*, Mittal M. Cognitive computing in human activity recognition with a focus on healthcare. Cognitive Computing for Human-Robot Interaction: Principles and Practices. 2021. 51–67 p.

4. Battineni G*. Machine Learning and Deep Learning Algorithms in the Diagnosis of Chronic Diseases. Vol. 968, Studies in Computational Intelligence. 2021. 141–164 p.

5. Pallotta G, Battineni G*, Nittari G, Amenta F. Psychological Stress and Mental Health Among Seafarers. Vol. 90, Lecture Notes on Data Engineering and Communications Technologies. 2022. 1–10 p.

6. Battineni G*, Hossain MA, Chintalapudi N, Amenta F. Alzheimer’s Disease Classification Using Feed Forwarded Deep Neural Networks for Brain MRI Images. Vol. 128, Lecture Notes on Data Engineering and Communications Technologies. 2022. 269–283 p.

7. Battineni G*, Nittari G, Pallotta G, Sagaro GG, Chintalapudi N, Amenta F. Telehealth and Pharmacological Strategies of COVID-19 Prevention: Current and Future Developments. Vol. 366, Studies in Systems, Decision and Control. 2022. 897–927 p.

8. Battineni G*. Opportunities and challenges in healthcare with the management of big biomedical data. Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications. 2022. 265–275 p.

9. Chintalapudi N, Battineni G, Goyal LM, Amenta F. Brain tumor classifications by gradient and XG boosting machine learning models. Predictive Modeling in Biomedical Data Mining and Analysis. 2022. 123–136 p.

10. Allegranti I, Battineni G, Garetto R. The Use of Artificial Intelligence and Mixed Reality in Preventing Natural Disasters: Practical and Legal Issues. Springer Series on Cultural Computing. 2023. 349–368 p.

11. Battineni, G.*, Chintalapudi, N., Hossain, M.A., Amenta, F. (2022). Telemedicine Services and Frameworks During COVID-19: A Case Study of Seafarers. In: Mittal, M., Battineni, G. (eds) Information and Communication Technology (ICT) Frameworks in Telehealth. TELe-Health. Springer, Cham. https://doi.org/10.1007/978-3-031-05049-7_7

12. Ramasamy, M., Battineni, G*. (2022). Proactive Digital Mental Healthcare Using ICT-Based Psychiatry Services to Prevent Cognitive Diseases During COVID Environment. In: Mittal, M., Battineni, G. (eds) Information and Communication Technology (ICT) Frameworks in Telehealth. TELe-Health. Springer, Cham. https://doi.org/10.1007/978-3-031-05049-7_5

13. Kalyani, G., Suneetha, M., Janaki Ramaiah, B., Battineni, G*. (2023). Analysis of Depression Disorder with Motor Activity Time-Series Data Using Machine Learning and Deep Learning. In: Battineni, G., Mittal, M., Chintalapudi, N. (eds) Computational Methods in Psychiatry. Springer, Singapore. https://doi.org/10.1007/978-981-99-6637-0_2

14. Mariappan, R., Battineni, G*. (2023). Deep Feedforward Neural Networks for Prediction of Mental Health. In: Battineni, G., Mittal, M., Chintalapudi, N. (eds) Computational Methods in Psychiatry. Springer, Singapore. https://doi.org/10.1007/978-981-99-6637-0_9

15. Battineni G*, Chougule S, Chintalapudi N, Ricci G, Amenta F. The Impact of  Telemedicine Technologies on Brain Small Vessel Disease and Ethical Concerns. Ambient Assist Living Technol. February 2025:205-221. doi:10.1201/9781003520184-17

Conferences 

1. Battineni G*, Chintalapudi N, Amenta F. Comparative machine learning approach in dementia patient classification using principal component analysis. In: ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. 2020. p. 780–4.

2. Mittal M, Battineni G, Kumar P, Sharma P, Panwar A. IoT based image defogging system for road accident control during winters. In: Proceedings of the 2020 International Conference on Computing, Communication and Security, ICCCS 2020. 2020.

3. Battineni G*, Chintalapudi N, Amenta F, Traini E. Deep learning type convolution neural network architecture for multiclass classification of Alzheimer’s disease. In: BIOIMAGING 2021 - 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021. 2021. p. 209–15.

4. Mittal, M., Battineni, G., Ahmad, W., Kumar, N., Upreti, R. (2022). Mathematical Scanner (M-Scan) Mobile Application for Solving Simple Math Equations. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1388. Springer, Singapore. https://doi.org/10.1007/978-981-16-2597-8_29

5. T. Upadhyay, M. Aamash, M. Mittal, and G. Battineni, “Pest detection using state-of-the-art YOLO models: a comparative study,” Int. Conf. Comput. Vis. Internet Things 2023, pp. 238–243, 2023, doi: 10.1049/ICP.2023.2882. 

Books

1. Mittal M, Battineni G, eds. Information and Communication Technology (ICT) Frameworks in Telehealth. Published online 2022. https://link.springer.com/book/10.1007/978-3-031-05049-7

2. Battineni G, Mittal M, Chintalapudi N, eds. Computational Methods in Psychiatry. Published online 2024. https://link.springer.com/book/10.1007/978-981-99-6637-0

3. Mittal M, Battineni G, Usharani B, Goyal LM. Text Analysis with Python: A Research Oriented Guide. Text Anal with Python A Res Oriented Guid. Published online August 11, 2022. https://benthambooks.com/book/9789815049602/  

4. Early Dementia Detection Among Older Adults by Artificial Intelligence Algorithms: Role and Application of AI in Dementia Diagnosis https://www.elivapress.com/en/book/book-5254006346/ 2022-04-25 ISBN:978-1636486543