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EAI Endorsed Transactions on Pervasive Health and Technology, Volume 10
Volume 10, 2024
- Shahedhadeennisa Shaik
, Chaitra S. P
NLP and Machine Learning for Sentiment Analysis in COVID-19 Tweets: A Comparative Study. - Sanjana Bhat, Reeja S. R:
A Comprehensive Study on Mental Illness Through Speech and EEG Using Artificial Intelligence. - Rishita Konda, Anuraag Ramineni, Jayashree J, Niharika Singavajhala, Sai Akshaj Vanka:
Integrated Embedded system for detecting diabetes mellitus using various machine learning techniques. - Ruby Dahiya, Virendra Kumar Dahiya, Deepakshi, Nidhi Agarwal, Lakshmana Phaneendra Maguluri, Muniyandy Elangovan:
Predictive Modelling for Parkinson's Disease Diagnosis using Biomedical Voice Measurements. - Suvendu Kumar Nayak, Mamata Garanayak, Sangram Keshari Swain:
A predictive prototype for the identification of diseases relied on the symptoms described by patients. - Arti Patle, Deepika Ajalkar, Atharva A Jain, Yashashree D. Fulsundar, Chaitanya P. Survase, Rohit A Parodhi:
CADCare: Smart System for CHD Identification & Sensor Alerts. - Rolando Eslava-Zapata, Verenice Sánchez-Castillo, Edixon Chacón-Guerrero:
Interaction between neuroscience and happiness: assessment from Artificial Intelligence advances. - Xie-Yi. G.:
Suicidal Ideation Detection and Influential Keyword Extraction from Twitter using Deep Learning (SID). - B. Hemalatha, B. Karthik, C. V. Krishna Reddy:
Speckle Noise Removal from Biomedical MRI Images and Classification by Multi-Support Vector Machine. - S. Balasubramaniam, Arishma M, K. Satheesh Kumar, Rajesh Kumar Dhanaraj:
A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis. - S. Balaji, B. Karthik, D. Gokulakrishnan:
Prediction of Diabetic Retinopathy using Deep Learning with Preprocessing. - Rajanish Kumar Kaushal, P. R. Panduraju Pagidimalla, C. Nalini, Devendra Kumar:
Predicting and Propagation of Diabetic Foot Infection by Deep Learning Model. - Tarandeep Kaur Bhatia, Prerana, Sudhanshu Singh, Navya Saluja, Yoshudeep Singh Gour:
A Review on the Importance of Machine Learning in the Health-Care Domain. - Mounika Sunkara, Reeja S. R:
Forecasting Epileptic Seizures Using XGBoost Methodology and EEG Signals. - R. Eswar Reddy
Exploring Mental Fatigue and Burnout in the Workplace: A Survival Analysis Approach. - Aditya Tandon, Vivek Kumar, Tanupriya Choudhury:
Pre-processing the Photoplethysmography Signals for Enhancing the Cardiovascular Diseases Detection for Wrist Pulse Analysis in Nadi Ayurveda. - Naara Medina-Altamirano
Thermal image processing system to monitor muscle warm-up in students prior to their sports activities. - S. Naganandhini, P. Shanmugavadivu:
Alzheimer's Disease Detection in MRI images using Deep Convolutional Neural Network Model. - Edward Leonardo, Murugananthan Velayutham, Justin Gilbert:
Data Analysis and Predictive Modelling on Heart Disease based on People's Lifestyle. - Bo Feng, Chao Xu, Zhengping Li, Jusheng Li, Chuanyi Zhang:
Study on artificial intelligence recognition pre-processing algorithm for cervical cancer. - Swati Sucharita, Barnali Sahu, Tripti Swarnkar:
Efficient Gene Expression Data Analysis using ES-DBN For Microarray Cancer Data Classification. - V. Sathyavathy:
A Novel Approach to Heart Disease Prediction Using Artificial Intelligence Techniques. - S. Nithya, M. Mary Shanthi Rani, V. Sivakumar:
Classification of Cardiovascular Arrhythmia Using Deep Learning Techniques: A Review. - Sonia Kukreja, Munish Sabharwal:
An Effective Lung Cancer Diagnosis Model Using the CNN Algorithm. - Poonam Mittal, S. P. Abirami, Puppala Ramya, Balajee J, Muniyandy Elangovan:
Rule Based Mamdani Fuzzy Inference System to Analyze Efficacy of COVID19 Vaccines. - L. Chandra Sekhar Reddy, Muniyandy Elangovan, M. Vamsikrishna, Ch Ravindra:
Brain Tumor Detection and Classification Using Deep Learning Models on MRI Scans. - Meena Kumari, Gurpreet Singh, Sagar Dhanraj Pande:
Depressonify: BERT a deep learning approach of detection of depression. - A. R. Deepa, Mousmi Ajay Chaurasia, Peram Sai Harsh Vardhan, Ganishetti Ritwika, Mamillapalli Samanth Kumar, Yaswanth Chowdary Nettm:
An Integrated Thresholding and Morphological Process with Histogram-based Method for Brain Tumor Analysis and MRI Tumor Detection. - V. S. Bakkialakshmi, V. Arulalan, Gowdham Chinnaraju, Hritwik Ghosh, Irfan Sadiq Rahat, Ankit Saha:
Exploring the Potential of Deep Learning in the Classification and Early Detection of Parkinson's Disease. - Yenumala Sankararao, Syed Khasim:
An Effective analysis of brain tumor detection using deep learning. - Vaishali Mehta, Neera Batra, Poonam, Sonali Goyal, Amandeep Kaur, Dudekula Khasim Vali, Ganta Jacob Victor:
Machine Learning based Exploratory Data Analysis (EDA) and Diagnosis of Chronic Kidney Disease (CKD). - Shaik Reshma, Reeja S. R:
SAA: A novel skin lesion Shape Asymmetry Classification Analysis. - Neha Yadav, Ranjith Kumar A, Sagar Dhanraj Pande:
Comparative Analysis of Polycystic Ovary Syndrome Detection Using Machine Learning Algorithms. - P. N. Senthil Prakash, S. Sudharson, Venkat Amith Woonna, Sai Venkat Teja Bacham:
Effective Cataract Identification System using Deep Convolution Neural Network. - Khalid Been Md. Badruzzaman Biplob, Musabbir Hasan Sammak, Abu Kowshir Bitto, Imran Mahmud:
COVID-19 and Suicide Tendency: Prediction and Risk Factor Analysis Using Machine Learning and Explainable AI. - Janjhyam Venkata Naga Ramesh, Raghav Agarwal, Harshitha Jyasta, Bommisetty Sivani, Palacholla Anuradha Sri Tulasi Mounika, Bollineni Bhargavi:
Automated Life Stage Classification of Malaria Using Deep Learning. - Wei Zhu:
Basketball Anterior and Posterior Portal Veins Doppler Imaging of Sports Medicine Technique Exploration. - Sergio Arturo Dominguez Miranda, Román Rodríguez-Aguilar:
Related factors with NCD in developing countries: economic, diet and risk factors dimensions. - Zhongchen Zhang, Xiaomei Wang:
Wearable Sports Smart Glasses Real-time Monitoring and Feedback Mechanism in Physical Education. - Irfan Sadiq Rahat, Mohammed Altaf Ahmed, Donepudi Rohini, A Manjula, Hritwik Ghosh, Abdus Sobur:
A Step Towards Automated Haematology: DL Models for Blood Cell Detection and Classification. - C. Usharani, Revathi B., A. Selvapandian, S. K. Kezial Elizabeth:
Lung Cancer Detection in CT Images Using Deep Learning Techniques: A Survey Review. - Yunxiang Shang:
Evaluation and Monitoring System for Exercise Rehabilitation Based on Combined Chinese and Western Medicine Technology. - Bunny Saini, Divya Venkatesh, Avinaash Ganesh, Amar Parameswaran, Shruti Patil, Pooja Kamat, Tanupriya Choudhury:
Colorizing Multi-Modal Medical Data: An Autoencoder-based Approach for Enhanced Anatomical Information in X-ray Images. - Irfan Sadiq Rahat, Tuhin Hossain, Hritwik Ghosh, Kamjula Lakshmi Kanth Reddy, Srinivas Kumar Palvadi, J. V. R. Ravindra:
Exploring Deep Learning Models for Accurate Alzheimer's Disease Classification based on MRI Imaging. - Bin Wu:
Real Time Monitoring Research on Rehabilitation Effect of Artificial Intelligence Wearable Equipment on Track and Field Athletes. - Jie Xu:
Analysis and Improvement of the Application of Playground Sports Posture Detection Technology in Physical Education Teaching and Training. - Nidhi Agarwal, Deepakshi, J. Harikiran, Yampati Bhagya Lakshmi, Aylapogu Pramod Kumar, Muniyandy Elangovan, Amit Verma:
Predictive Modelling for Heart Disease Diagnosis: A Comparative Study of Classifiers. - Jing Wang:
Research on Intelligent Analysis Method for the Impact of Running APP Software on Physical Fitness Indicators of College Students. - Daomeng Zhang:
Individual Intervention and Assessment of Students' Physical Fitness Based on the "Three Precision" Applet and Mixed Strategy Optimised CNN Networks. - Yu Li, Yuetong Gao:
Research on Portable Intelligent Terminal and APP Application Analysis and Intelligent Monitoring Method of College Students' Health Status. - Ya Wang:
Analysis of an Infectious Disease Vaccination Prediction System Based on the MF-Conv LSTM Model. - Sambhabi Patnaik, Kyvalya Garikapati, Lipsa Dash, Ramyani Bhattacharya, Arpita Mohapatra:
Safeguarding Patient Privacy: Exploring Data Protection in E-Health Laws: A Cross-Country Analysis. - Binbin Han, Fuliang Zhang, Zhenyun Chang, Fang Feng:
Optimising Deep Neural Networks for Tumour Diagnosis Algorithms Based on Improved MRFO Algorithm. - Javier Eduardo Curo Yllaconza
Use of wearable technologies in health promotion in Human Medicine students. - Francesco Mercaldo, Luca Brunese, Antonella Santone, Fabio Martinelli, Mario Cesarelli:
Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study. - B. Premalatha, Chandrasekharan Nataraj:
Linear Regression Based Machine Learning Model for Cataract Disease Prediction. - K. Ezhilraja, P. Shanmugavadivu:
Performance Assessment of Deep Learning Models on Non-Small Cell Lung Cancer Type Classification. - Tianzhi Le, Fanfeng Shi, Meng Ge, Ran Dong, Dan Shan:
Tuberculosis detection bars on VGG19 transfer learning and Zebra Optimization Algorithm. - Anila M, G. Kiran Kumar, D. Malathi Rani, M. V. V. Prasad Kantipudi, Dharmana Jayaram:
An LSTM based DNN Model for Neurological Disease Prediction Using Voice Characteristics. - R. Kishore Kanna, Bhawani Sankar Panigrahi, Susanta Kumar Sahoo, Anugu Rohith Reddy, Yugandhar Manchala, Nirmal Keshari Swain:
CNN Based Face Emotion Recognition System for Healthcare Application. - J. Sofia Bobby, S. Purnima, V. Mythily, B. Ghiri Rajan, S. Shubhankar, M. Sowmiya:
In vitro chronic wound healing using collagen and plant extract along with zinc nanoparticles. - Chetan Chaudhari, Sapana Fegade, Sasanko Sekhar Gantayat, Kumari Jugnu, Vikash Sawan:
Influenza Diagnosis Deep Learning: Machine Learning Approach for Pharyngeal Image Infection. - Binbin Han, Fuliang Zhang, Lin Zhao:
Wavelet Transform and SVM Based Heart Disease Monitoring for Flexible Wearable Devices. - Najeeba Afreen, Rajanikanth Aluvalu:
Glaucoma Detection Using Explainable AI and Deep Learning. - B. Vennilapriya, C. Bennila Thangammal:
Analysis on Smart Healthcare Monitoring Based on Compound Dimension. - Shambhvi Sharma, Monica Sahni:
A Comprehensive Feature Engineering Approach for Breast Cancer Dataset. - R. Kishore Kanna, R. Ravindraiah, C. Priya, R. Gomalavalli, Nimmagadda Muralikrishna:
Clinical Application of Neural Network for Cancer Detection Application. - Anuraag Ramineni, Rishita Konda, Jayashree J, Deepak Sannapareddy, Saketh Konduri:
A Comparative Analysis using various algorithm Approaches to Enhance Heart Disease Prognosis. - Pokkuluri Kiran Sree, N. S. S. S. N. Usha Devi:
3D Convolutional Neural Networks for Predicting Protein Structure for Improved Drug Recommendation. - Sirisha Potluri, Bikash Chandra Sahoo, Sandeep Kumar Satapathy, Shruti Mishra, Janjhyam Venkata Naga Ramesh, Sachi Nandan Mohanty:
A Deep Learning Framework for Prediction of Cardiopulmonary Arrest. - A Pradeepa, O. V. Shanmuga Sundaram, N. Pushpalatha:
Graphical image of Trisomy Ultrascan related Total edge magic labelling. - Thangavel Saravanan, Selvaraj Saravanakumar, Ganesh Karthikeyan V, K. Keerthika:
Analyzing Machine Learning Classifiers for the Diagnosis of Heart Disease. - A L. Leena Jenifer, B. K. Indumathi, C. P. Mahalakshmi:
Detection of Female Anopheles Mosquito-Infected Cells: Exploring CNN, ReLU, and Sigmoid Activation Methods. - Muralidharan Jayaraman, Shanmugavadivu Pichai:
Automatic Data-Driven Classification Systems for Cardiovascular Disease. - Pichai Shanmugavadivu, G. Kanimozhi, M. Mary Shanthi Rani, N. K. Riyaz:
Multimodal Data-Driven Intelligent Systems for Breast Cancer Prediction. - Sarita, Tanupriya Choudhury, Saurabh Mukherjee, Chiranjit Dutta, Aviral Sharma, Ayan Sar:
A Wearable Device for Assistance of Alzheimer's disease with Computer Aided Diagnosis. - Kishore Kanna Ravikumar, Susanta Kumar Sahoo, B. K. Mandhavi, V. Mohan, Stalin Babu Gedela, Bhawani Sankar Panigrahi:
Detection of Brain Tumour based on Optimal Convolution Neural Network. - R. Sujatha, Mahalakshmi K, Mohamed Sirajudeen Yoosuf:
Colorectal cancer prediction via histopathology segmentation using DC-GAN and VAE-GAN. - Mohammed Altaf Ahmed, Q. S. Tasmeem Naz, Raghav Agarwal, Mannava Yesubabu, Rajesh Tulasi:
Clinical Support System for Cardiovascular Disease Forecasting Using ECG. - Hritwik Ghosh, Pavan Kumar P, Irfan Sadiq Rahat, Md Mehedi Hasan Nipu, Garigipati Rama Krishna, J. V. R. Ravindra:
Exploring Deep Learning Models for Accurate Alzheimer's Disease Classification based on MRI Imaging. - Tarandeep Kaur Bhatia, Samagya Rathi, Thipendra P. Singh, Biswayan Naha:
Sentiment Analysis of Covid Vaccine Myths using Various Data Visualization Tools. - Diandong Lian:
Deep learning in sports skill learning: a case study and performance evaluation. - Antony Paul Espiritu-Martinez
Bibliometric analysis of publications on neuroscience and noncommunicable diseases in the Scopus database. - Archana Tandon, Bireshwar Dass Mazumdar, Manoj Kumar Pal:
Integrated Intelligent Computing Models for Cognitive-Based Neurological Disease Interpretation in Children: A Survey. - Lenka Angelita Kolevic Roca, Carlos Víctor Mora Aguilar, Rosaria Luz Diaz Ramos, Dimna Zoila Alfaro Quezada, Mirelly Velásquez Orellana:
Analysis of the use of electronic medical records and its effect on improving patient care. - Changqing Liu, Yanan Xie:
Innovative Application of Computer Vision and Motion Tracking Technology in Sports Training. - Fangming Dai, Zhiyong Li:
Research on 2D Animation Simulation Based on Artificial Intelligence and Biomechanical Modeling. - Gorapalli Srinivasa Rao, G. Muneeswari:
A Review: Machine Learning and Data Mining Approaches for Cardiovascular Disease Diagnosis and Prediction. - Srinivas Kolli, Muniyandy Elangovan, M. Vamsikrishna, Pramoda Patro:
AI Fuzzy Based Prediction and Prorogation of Alzheimer's Cancer. - Hritwik Ghosh, Irfan Sadiq Rahat, J. V. R. Ravindra, Balajee J, Mohammad Aman Ullah Khan, J. Somasekar:
Convolutional Neural Networks in Malaria Diagnosis: A Study on Cell Image Classification. - Mallellu Sai Prashanth, Uma Maheswari V, Rajinikanth Aluvalu, M. V. V. Prasad Kantipudi:
Enhancing Health Product Traceability on the Blockchain: A Novel Approach for Supply Chain Management inspection to AI. - Shikha Verma, Aditi Sharan:
Unveiling the Biomarkers: Identifying Key Signatures for Cancer Hallmarks. - Gokapay Dilip Kumar, Sachi Nandan Mohanty:
Brain Tumor Detection based on Multiple Deep Learning Models for MRI Images. - Archana Panda, Prachet Bhuyan:
Gait Data-Driven Analysis of Parkinson's Disease Using Machine Learning. - Khushi Gupta, Shrey Aggarwal, Avinash Jha, Aamir Habib, Jayant Jagtap, Shrikrishna Kolhar, Shruti Patil, Ketan Kotecha, Tanupriya Choudhury:
Deep Learning Framework for Liver Tumor Segmentation. - Reeja S. R, Sangameswar J, Solomon Joseph Joju, Mrudhul Reddy Gangula, Sujith S:
X-ray body Part Classification Using Custom CNN. - Shuaishuai Zhang, Gang Chen:
Designing and Analysing an APP based on "Internet+" for Integrating Health Data of University Physical Classes. - Bhagyashri R. Wankar, Nikita V. Kshirsagar, Amisha V. Jadhav, Srushti R. Bawane, Shubham M. Koshti:
Innovative Deep Learning Approach for Parkinson's Disease Prediction: Leveraging Convolutional Neural Networks for Early Detection. - Raja Rajeswari Ponnusamy, Lim Chun Cheak, Elaine Chan Wan Ling, Lim Sern Chin:
Prediction of Paediatric Systemic Lupus Erythematosus Patients Using Machine Learning. - Disha Sushant Wankhede, Chetan J. Shelke, Virendra Kumar Shrivastava, Rathnakar Achary, Sachi Nandan Mohanty:
Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model. - Xiaoyun Wang:
Human Muscle sEMG Signal and Gesture Recognition Technology Based on Multi-Stream Feature Fusion Network. - Sarita Saavedra
Analysis of the implementation of teletraining and teleIEC in healthcare services: Case study. - Gamze Kose, Liliana Marmolejo Saucedo, Miriam Rodriguez Aguilar, Utku Kose:
Wearables for Health Tourism: Perspectives and Model Suggestion. - R. Kishore Kanna, Shashikant V. Athawale, Makarand Y. Naniwadekar, C. S. Choudhari, Nitin R. Talhar, Sumedh Dhengre:
Anxiety Controlling Application using EEG Neurofeedback System. - Safa Gasmi, Akila Djebbar, Hayet Farida Merouani, Hanene Djedi:
An Innovative CBR-Enhanced Approach for Skin Cancer Classification using Cascade Forest Model and Convolutional Neural Network with Attention Mechanism. - Shuya Wang, Chenjun Du, Yunfang Chen:
A New Deepfake Detection Method Based on Compound Scaling Dual-Stream Attention Network. - J. Naeem, Omer Melih Gul, I B. Parlak, K. Karpouzis, Y. B. Salman, Seifedine Nimer Kadry:
Detection of Misinformation Related to Pandemic Diseases using Machine Learning Techniques in Social Media Platforms. - N. Sukhadia, P. Kamboj:
IMU-Based Approach to Detect Spastic Cerebral Palsy in Infants at Early Stages. - Bhawna Dash, Soumyalatha Naveen, Ashwinkumar Um:
Enhancing Disease Diagnosis: Statistical Analysis of Haematological Parameters in Sickle Cell Patients, Integrating Predictive Analytics. - Janjhyam Venkata Naga Ramesh, Raghav Agarwal, Polireddy Deekshita, Shaik Aashik Elahi, Saladi Hima Surya Bindu, Juluru Sai Pavani:
Application of Several Transfer Learning Approach for Early Classification of Lung Cancer. - Hemalatha Gunasekaran, S. Deepa Kanmani, Shamila Ebenezer, Wilfred Blessing, K. Ramalakshmi:
Detection of Lung and Colon Cancer using Average and Weighted Average Ensemble Models. - Shagufta Rasheed, G. Kiran Kumar, D. Malathi Rani, M. V. V. Prasad Kantipudi, Anila M:
Heart Disease Prediction Using GridSearchCV and Random Forest. - Athi Vaishnavi Rengarajan, P. Jegathesh, M. Jayasheela, K. Mahalakshmi:
A Survey on Impact of Internet of Medical Things Against Diabetic Foot Ulcer. - Xiuxiu Liu, Elena A. Gubar:
Optimal control in models of virus propagation. - Yagnesh Challagundla, Badri Narayanan K, Krishna Sai Devatha, Bharathi V. C, J. V. R. Ravindra:
A Multi-Model Machine Learning Approach for Monitoring Calories Being Burnt During Workouts Using Smart Calorie Tracer. - S. Roobini, M. S. Kavitha, S. Karthik:
Comparative Analysis of CNN and Different R-CNN based Model for Prediction of Alzheimer's Disease. - Shrey Shah, Monika Mangla, Nonita Sharma, Tanupriya Choudhury, Maganti Syamala:
Modelling of Diabetic Cases for Effective Prevalence Classification. - Sandeep Kumar Panda, Janjhyam Venkata Naga Ramesh, Hritwik Ghosh, Irfan Sadiq Rahat, Abdus Sobur, Mehadi Hasan Bijoy, Mannava Yesubabu:
Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification. - Aniket Jhariya, Dhvani Parekh, Joshua Lobo, Arunkumar M. Bongale, Ruchi Jayaswal, Prachi Kadam, Shruti Patil, Tanupriya Choudhury:
Distance Analysis and Dimensionality Reduction using PCA on Brain Tumour MRI Scans. - Vaishali Mehta, Monika Mangla, Nonita Sharma, Manik Rakhra, Tanupriya Choudhury, Garigipati Rama Krishna:
Machine Learning Based Assessment and Predictive Analysis of In-Vitro Fertilization Success Rate. - Miriam Zulema Espinoza-Véliz, Antony Paul Espiritu-Martinez
Status of high-impact scientific publication in nursing in Latin America. - N. Vijayaraj, D. Rajalakshmi, P. S. Immaculate, B. Sathianarayani, S. Rajeswari, S. Gomathi:
An Innovative approach to Improve the Quality of Pharmaceuticals approach using Cloud Computing. - Selvaraj Saravanakumar, Thangavel Saravanan, M. Prabhakaran, T. Sathish:
Impressive predictive model for Breast Cancer based on Machine Learning. - Koustav Dutta, Rasmita Lenka, Priya Gupta, Aarti Goel, Janjhyam Venkata Naga Ramesh:
Swift Diagnose: A High-Performance Shallow Convolutional Neural Network for Rapid and Reliable SARS-COV-2 Induced Pneumonia Detection. - Ajit Narendra Gedem, Aniruddha S. Rumale:
A Hybrid Optimization Approach for Pulmonary Nodules Segmentation and Classification using Deep CNN. - Gang Chen, Shuaishuai Zhang:
Analysis Method of Special Physical Training Mode of Basketball Teams in Colleges Based on WeChat Applet and FTTA Optimised LSTM.
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last updated on 2024-12-15 01:16 CET by the dblp team
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