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ORCIDEAI Endorsed Transactions on Pervasive Health and Technology, Volume 9
Volume 9, Number 1, 2023
- Maram Anantha Guptha, Surampudi Srinivasa Rao, Ravindrakumar Selvaraj
:
An Efficient Discrete Wavelet Transform Architecture with Low Power and Multiplier-Less Structure for Pervasive Biomedical Image Processing Application. e1 - Sabitha Banu A., G. Padmavathi:
Hybrid Detection and Mitigation of DNS Protocol MITM attack based on Firefly algorithm with Elliptical Curve Cryptography. e2 - Lucía Asencios-Trujillo, Djamila Gallegos-Espinoza, Lida Asencios-Trujillo, Livia Piñas-Rivera, Carlos Larosa-Longobardi:
Teachers' Lifestyle who use ICTs in Basic Education during COVID-19: A case study. - Manoj Kumar, S. Z. Hussain:
An efficient and secure mutual authentication protocol in wireless body area network. - Zefree Lazarus Mayaluri, Satyabrata Lenka:
Hybrid glaucoma detection model based on reflection components separation from retinal fundus images. - Ines Slimene, Imen Messaoudi, Afef Elloumi Oueslati, Zied Lachiri:
Cancer disease multinomial classification using transfer learning and SVM on the genes' sequences. - Ravendra Singh, Hitesh Kumar Sharma, Tanupriya Choudhury, Anurag Mor, Shlok Mohanty, Sachi Nandan Mohanty:
Blockchain for IoT-enabled Healthcare. - Kishore Kanna Ravikumar, Mohammed Ishaque, Bhawani Sankar Panigrahi, Chimaya Ranjan Pattnaik:
Detection of Covid-19 Using AI Application. - B. V. Chandrahaas, Sachi Nandan Mohanty, Sujit Kumar Panda, Michael G.:
An Empirical Study on Classification of Monkeypox Skin Lesion Detection. e4 - Taffazul Choudhury, Bismita Choudhury:
Automated Cardiovascular Disease Prediction Models: A Comparative Analysis. e6 - Kawser Ahammed, Mosabber Uddin Ahmed:
Multivariate Multiscale Entropy: An Approach to Estimating Vigilance of Driver. e7 - Daniel Andrade Girón, Edgardo Carreño Cisneros, Cecilia Mejía-Dominguez, Julia Velásquez-Gamarra, William Marín-Rodriguez, Henry Villarreal-Torres, Rosana Meleán-Romero:
Support vector machine with optimized parameters for the classification of patients with COVID-19. e8 - Antony Paul Espiritu-Martinez, Rafael Romero-Carazas, Dometila Mamani-Jilaja, Salvador Gerardo Flores-Chambilla, Miriam Zulema Espinoza-Véliz, Melvi Janett Espinoza-Egoavil, Katerine Karen Gomez-Perez, Karina Liliana Espinoza-Véliz, Fabrizio Del Carpio-Delgado, Tania Quiroz Quesada:
Latin American research on cardiovascular diseases: A bibliometric-network approach. - Sheik Mohammad Roushdat Ally Elaheebocus, Fiona Grant:
Exergaming Characteristics in Interventions Addressing Physical Activity and Nutrition: A Systematic Literature Review. - Mahmood A. Bazel, Fathey Mohammed, Mazida Ahmad:
A Systematic Review on the Adoption of Blockchain Technology in the Healthcare Industry. e3 - Carlos Oscar Lepez, William Castillo-Gonzalez, Mabel Cecilia Bonardi, Carlos Alberto Gómez Cano, Adrián Alejandro Vitón-Castillo:
Use of real-time graphics in health education: A systematic review. e2 - Nonita Sharma, Monika Mangla, M. Mohamed Iqbal, Sachi Nandan Mohanty:
Deep Learning Framework for Identification of Skin Lesions. - Raghav Agarwal, Deepthi Godavarthi:
Skin Disease Classification Using CNN Algorithms. - Edmundo Cabezas Heredia, Fernando Molina Granja, Gregory Montenegro-Bosquez, Mónica Salazar, Juan Carlos Santillán-Lima, Santiago Ramírez, Orestes Cachay-Boza:
Assessment of technological stress levels in university staff: case study. - Manjula Mandava, Vinta Surendra Reddy, Hritwik Ghosh, Irfan Sadiq Rahat:
An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population. - Rupali Bhartiya, Gend Lal Prajapati:
NNFSRR: Nearest Neighbor Feature Selection and Redundancy Removal Method for Nearest Neighbor Search in Microarray Gene Expression Data. - Djamila Gallegos-Espinoza, Livia Piñas-Rivera, Lucía Asencios-Trujillo, Carlos Larosa-Longobardi, Lida Asencios-Trujillo, Rosa Perez-Siguas:
Nursing Care through ICTs in Hypertensive Teachers with Cardiovascular Risk in a Primary Care Centers. - Shaik Jameer, Hussain Syed:
A Deep Survey on Human Activity Recognition Using Mobile and Wearable Sensors. - Purnima Pal, Manju Nandal, Srishti Dikshit, Aarushi Thusu, Harsh Vikram Singh:
Harnessing the Power of Ensemble Machine Learning for the Heart Stroke Classification. - Ritunsa Mishra, Rabinarayan Satpathy, Bibudhendu Pati:
Human Computer Interaction Applications in Healthcare: An Integrative Review. - Anita Shukla, Alka Algnihotri, Bhawna Singh:
Analyzing How AI And Emotional Intelligence Affect Indian IT Professional's Decision-Making. - Daniel Cristóbal Andrade-Girón, William Joel Marín-Rodriguez, Flor de María Lioo-Jordán, Gladis Jane Villanueva-Cadenas, Flor de María Garivay-Torres de Salinas:
Neural Networks for the Diagnosis of Covid-19 in Chest X-ray Images: A Systematic Review and Meta-Analysis. - José Armando Tiznado Ubillús, José Alfredo Quispe-Herrera, Luis Antonio Rivera Escriba, Marysela Ladera-Castañeda, César Augusto Atoche Pacherres, Miguel Ángel Atoche Pacherres, Carmen Lucila Infante Saavedra:
Algorithms used for facial emotion recognition: a systematic review of the literature. - Manuel Benigno Villanueva De La Cruz, Cecilia Isabel Lévano Zegarra, Roxana Maribel Bustamante Vega, Cesar Lorenzo Torres Sime, Julio Brayan Saldaña Narro, Lucio-Arnulfo Ferrer-Peñaranda, Roberto Carlos Dávila Morán:
Evaluation of the effectiveness of personal electronic health assistants in monitoring patients with chronic diseases. - Juan Molleda-Antonio, Erick Vargas-Montes, Brian Meneses-Claudio, Monica Auccacusi-Kañahuire:
Application of virtual reality in simulated training for arthroscopic surgeries: A systematic literature review. - Reeja S. R, Mounika Sunkara:
Autism Spectrum Disorder Classification Using Machine Learning and Deep Learning- A Survey. - Madhura Kalbhor, Swati Shinde, Sagar Lahade, Tanupriya Choudhury:
DeepCerviCancer - Deep Learning-Based Cervical Image Classification using Colposcopy and Cytology Images. - Fabrizio Del Carpio-Delgado, David Hugo Bernedo-Moreira, Antony Paul Espiritu-Martinez, José Luis Aguilar-Cruzado, Carlos Eduardo Joo-García, Marilí Ruth Mamani-Laura, Rafael Romero-Carazas:
Telemedicine and eHealth Solutions in Clinical Practice. - Shaif Mehraj Makhdoomi, Cherry Khosla, Sagar Dhanraj Pande:
Real Time Lung Cancer Classification with YOLOv5. - Karan Dayal, Manmohan Shukla, Satyasundara Mahapatra:
Disease Prediction Using a Modified Multi-Layer Perceptron Algorithm in Diabetes. - Piyush Bhushan Singh, Pawan Singh, Harsh Dev, Anil Tiwari, Devanshu Batra, Brijesh Kumar Chaurasia:
Glaucoma Classification using Light Vision Transformer. - Livia Piñas-Rivera, Djamila Gallegos-Espinoza, Lucía Asencios-Trujillo, Carlos Larosa-Longobardi, Lida Asencios-Trujillo, Hernan Matta-Solis:
Use of ICTs to assess the Risk of Diabetes in Educational Personnel: A Case Study. - Mithun Shivakoti, Sai Charan Medaramatla, Deepthi Godavarthi, Narsaiah Shivakoti:
Prognoza: Parkinson's Disease Prediction Using Classification Algorithms. - Djamila Gallegos-Espinoza, Carlos Larosa-Longobardi, Livia Piñas-Rivera, Lucía Asencios-Trujillo, Lida Asencios-Trujillo, Hernan Matta-Solis:
Satisfaction with Life and its Relationship with Mental Health in University Professors. - A. B. Dash, Sachikanta Dash, Sasmita Padhy, R. K. Das, Biswaranjan Mishra, Bijay Kumar Paikaray:
Identification of Polyp from Colonoscopy Images by Deep Belief Network based Polyp Detector Integration Model. - Kokkula Lokesh, Nagendra Panini Challa, Abbaraju Sai Satwik, Jinka Chandra Kiran, Narendra Kumar Rao, Naseeba Beebi:
Early Alzheimer's Disease Detection Using Deep Learning. - Fabrizio Del Carpio-Delgado, Rafael Romero-Carazas, Gustavo Eduardo Pino-Espinoza, Linda Flor Villa-Ricapa, Eva Luisa Núñez-Palacios, Margoth Marleny Aguilar-Cuevas, Antony Paul Espiritu-Martinez:
Telemedicine in Latin America: a bibliometric analysis. - Langlang Liu:
A CDIO Education Model for Hospitality Management in Context of Artificial Intelligence and Informatization. - Virendra Kumar Shrivastava, Chetan J. Shelke, Aastik Shrivastava, Sachi Nandan Mohanty, Nonita Sharma:
Optimized Deep Learning Model for Disease Prediction in Potato Leaves. - Irfan Sadiq Rahat, Hritwik Ghosh, Shaik Kareemulla, Syed Khasim, Gnanajeyaraman Rajaram:
Unraveling the Heterogeneity of Lower-Grade Gliomas: Deep Learning-Assisted Flair Segmentation and Genomic Analysis of Brain MR Images. - Subasish Mohapatra, Indrani Mishra, Subhadarshini Mohanty:
Stacking Model for Heart Stroke Prediction using Machine Learning Techniques. - Juan Carlos Santillán-Lima, Fernando Molina Granja, Patricio Santillán-Lima, Daniela Caichug-Rivera, Raúl Lozada Yánez, Washington Luna Encalada:
Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands. - Nalluri Shweta, Sagar Dhanraj Pande:
Prediction of Anemia using various Ensemble Learning and Boosting Techniques. - Leonardo Enco-Jáuregui, Brian Meneses-Claudio, Monica Auccacusi-Kañahuire:
Web accessibility for people with dyslexia: A systematic literature review. - Bryan Tito-Llana, Nils Riveros-Torre, Brian Meneses-Claudio, Monica Auccacusi-Kañahuire:
Virtual reality for physical and psychological improvement during the treatment of patients with breast cancer: Systematic review. - Oluwafisayo Babatope Ayoade, Tinuke Omolewa Oladele, Agbotiname Lucky Imoize, Jerome Adetoye Adeloye, Joseph Bamidele Awotunde, Segun Omotayo Olorunyomi, Olusola Theophilus Faboya, Ayorinde Oladele Idowu:
An Ensemble Models for the Prediction of Sickle Cell Disease from Erythrocytes Smears. - Muhammad Ibrar, Shahid Karim, Shoulin Yin, Hang Li, Asif Ali Laghari:
Impact of Covid-19 epidemic on online learning and educational resources in China. - Djamila Gallegos-Espinoza, Livia Piñas-Rivera, Lida Asencios-Trujillo, Lucía Asencios-Trujillo, Carlos Larosa-Longobardi, Hernan Matta-Solis:
Quality of Life in Elderly University professors who attend a health establishment in Peru. - Anasuya Swain, Subhalaxmi Sahu, Monalisha Patel, Pradeep Ranjan Dhal:
Artificial Intelligence Application with Contact Tracing for Post COVID -19 Epidemic Management. - Román Rodríguez-Aguilar, Jose Antonio Marmolejo Saucedo, Alejandro Zavala Landin, Miriam Rodriguez Aguilar, Liliana Marmolejo Saucedo:
Out of pocket and catastrophic health spending in Mexico in the face of the COVID-19 pandemic. - Md. Sabbir Ahmed, Syeda Shabnam Khan, Nova Ahmed:
Is There Any Relation Between Smartphone Usage and Loneliness During the COVID-19 Pandemic?: A Study by Exploring Two Objective App Usage Datasets. - Maria Mihaela Iuga, Rafael Romero-Carazas, Fernando Espada-Salgado, Bogdan Oprea, Stefan Vasile Stefanescu, Mayra Lavado-García:
Role of biodentine in endodontics: a bibliometric and scientometric analysis. - P. Vinayasree, A. Mallikarjuna Reddy:
Blockchain-Enabled Hyperledger Fabric to Secure Data Transfer Mechanism for Medical Cyber-Physical System: Overview, Issues, and Challenges. - Iram Fatima, Veena Grover, Ihtiram Raza Khan, Naved Ahmad, Ambooj Yadav:
Artificial Intelligence in Medical Filed. - Anshuman Sharma, Biswaroop Nath, Tejaswini Kar, D. Khasim:
Masked GANs for Face Completion: A Novel Deep Learning Approach. - Abbaraju Sai Sathwik, Raghav Agarwal, Ajith Jubilson E, Santi Swarup Basa:
Diabetic Retinopathy Classification Using Deep Learning. - Panda P, Sethy B:
Mapping the Nexus: A Bibliometric Analysis of Pandemics and Slum Dwellers' Health. - Asep Bayu Dani Nandiyanto, D. N. Al Husaeni, D. F. Al Husaeni:
Research Trends on Airborne Pathogen Transmission and Mitigation. - Pooja Rani, Rajneesh Kumar, Anurag Jain, Rohit Lamba, Ravi Kumar Sachdeva, Tanupriya Choudhury:
PCA-DNN: A Novel Deep Neural Network Oriented System for Breast Cancer Classification. - Soumya Samarpita, Rabinarayan Satpathy, Pradipta Kumar Mishra, Aditya Narayan Panda:
Mental Stress Classification from Brain Signals using MLP Classifier. - Saifeddine Ben Nasr, Imen Messaoudi, Afef Elloumi Oueslati, Zied Lachiri:
Breast cancer early detection in TP53 SNP protein sequences based on a new Convolutional Neural Network model. - Rajarshi Sarkar, Mokshith Telugu, Nooharika Kuntla:
Big data-analysis, map reduced framework, security & privacy challenges and techniques in health sector. - Guoying Feng, Jie Zhu, Jun Li:
Brain MRA 3D Skeleton Extraction Based on Normal Plane Centroid Algorithm. - Atul Kumar Dixit, Rajat Verma:
Advanced Hybrid Model for Multi Paddy diseases detection using Deep Learning. - Suraj Khari, Deepa Gupta, Alka Chaudhary, Ruchika Bhatla:
A Novel Approach to Identify the Brain Tumour Using Convolutional Neural Network. - Koteswara Rao Makkena, Karthika Natarajan:
Classification Algorithms for Liver Epidemic Identification.
Volume 9, 2023
- Anil V. Turukmane, Sagar Pande, Vaidehi Bedekar, Aditya Kadam:
Reinforced Hybrid Graph Transformer for Medical Recommendations. - G. Sucharitha, G. Sai Aditya, J. Varsha, G. Sai Nikhil:
Electronic Medical Records Using Blockchain Technology.
Volume 9, 2024
- Jinka Chandra Kiran, Naseeba Beebi, Abbaraju Sai Sathwik, Thadikala Prakash Badrinath Reddy, Kokkula Lokesh, Tatigunta Bhavi Teja Reddy, Nagendra Panini Challa:
White Blood Cells Classification using CNN.
Volume 9, 2023
- S. V. Mahesh Kumar, P. Dhinakar, R. Nishanth:
Aortic Stenosis Detection Using Spectral Statistical Features of Heart Sound Signals. - Yunxiang Shang:
A Big Data Survey on Lower Extremity Injuries and Prevention of Athletic Students in General Colleges and Universities. - R. Chang, Di Meng:
Construction and effect evaluation of a hierarchical training system for nosocomial infection based on hospitals at all levels. - Noreena Liu:
Using Games as an Effective Intervention for Supporting Families Living with Dementia. - Loveleen Kumar, C. Anitha, Venka Namdev Ghodke, Natarajan Nithya, Vinayak A. Drave, Azmath Farhana:
Deep Learning Based Healthcare Method for Effective Heart Disease Prediction. - Nidhi Agarwal, Nitish Kumar, Anushka, Vrinda Abrol, Yashica Garg:
Enhancing Image Recognition: Leveraging Machine Learning on Specialized Medical Datasets. - Ruby Dahiya, Nidhi, Kajal Kumari, Shruti Kumari, Nidhi Agarwal:
Usage of Web Scraping in the Pharmaceutical Sector. - Wangyang Yu, Yanrong Pei, Shui-Hua Wang, Yu-Dong Zhang:
WE-BA: Covid-19 detection by Wavelet Entropy and Bat Algorithm. - Abbaraju Sai Sathwik, Naseeba Beebi, Jinka Chandra Kiran, Kokkula Lokesh, Venkata Sasi Deepthi Ch, Nagendra Panini Challa:
Early Detection of Monkeypox Skin Disease Using Patch Based DL Model and Transfer Learning Techniques. - Sai Pranav Kothapalli, Panchumarthi Sri Hari Priya, Vempada Sagar Reddy, Botta Lahya, Prashanth Ragam:
Melanoma Skin Cancer Detection using SVM and CNN. - Raghav Agarwal, Abbaraju Sai Sathwik, Deepthi Godavarthi, Janjhyman Venkata Naga Ramesh:
Comparative Analysis of Deep Learning Models for Multiclass Alzheimer's Disease Classification. - Jorge Luis Rojas-Arce, Luis Jiménez-Ángeles, Jose Antonio Marmolejo Saucedo:
Quantitation of Body Movement in a Motor Physical Therapy for Parkinson's Disease. - Albe Bing Zhe Chai, Bee Theng Lau, Mark Tee Kit Tsun, Christopher McCarthy:
Comparative analysis of regional variations in road traffic accident patterns with association rule mining. - Sanket Mishra, Bernard Ngangbam, Shritik Raj, Nihar Ranjan Pradhan:
CURA: Real Time Artificial Intelligence and IoT based Fall Detection Systems for patients suffering from Dementia. - Adarsh Benjamin, Farha Fatina Wahid, Jenefa J:
Smart Phone based Fundus Imaging for Diabetic Retinopathy Detection. - Ivan Izonin, Roman Tkachenko, Roman Bliakhar, Michal Kovác, Yevgeniy V. Bodyanskiy, Olha Chala:
An improved ANN-based global-local approximation for small medical data analysis. - Polasi Sudhakar, Suresh Chandra Satapathy:
novel skin cancer Detection based transfer learning with optimization algorithm using Dermatology Dataset. - Verenice Sánchez-Castillo, Carlos Alberto Gómez Cano, Javier Gonzalez-Argote:
Telemedicine and mHealth Applications for Health Monitoring in Rural Communities in Colombia: A Systematic Review. 5
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