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ORCIDEAI Endorsed Transactions on Pervasive Health and Technology, Volume 7
Volume 7, Number 25, 2021
- Sónia Oliveira, Liliana Vale Costa
:
Using Information and Communication Technologies in Health Teaching and Learning. e1 - Prem Kumar Chandrakar, Akhilesh Kumar Shrivas, Neelam Sahu:
Design of a Novel Ensemble Model of Classification Technique for Gene-Expression Data of Lung Cancer with Modified Genetic Algorithm. e2 - Parag Chatterjee, Andreína Tesis, Camila Simoes, Franco La Paz, María Belén Masset, Lucía Lemes, Vanessa Yelós, Mariano Parodi, Juan Cardelino, Ricardo L. Armentano:
Virtual Learning Approach Toward Introductory Biological Engineering Course in Uruguay During COVID-19. e3 - Cmak Zeelan Basha, B. N. Lakshmi Pravallika, E. Bharani Shankar:
An Efficient Face Mask Detector with PyTorch and Deep Learning. e4 - Stefano Triberti, Francesco Petrella, Alessandra Gorini, Omar Pappalardo, Valeria Sebri, Lucrezia Savioni, Alberto Redaelli, Gabriella Pravettoni:
Augmenting Surgery: Medical Students' Assessment and Ergonomics of 3D Holograms vs. CT Scans for Pre-Operative Planning. e5
Volume 7, Number 26, 2021
- Chinmay Chakraborty, Arij Naser Abougreen:
Intelligent Internet of Things and Advanced Machine Learning Techniques for COVID-19. e1 - Anjali Kapoor, Rekha Agarwal:
Enhanced Brain Tumour MRI Segmentation using K-means with machine learning based PSO and Firefly Algorithm. e2 - Prasannavenkatesan Theerthagiri:
Probable Forecasting of Epidemic COVID-19 in Using COCUDE Model. e3 - Jennifer Lumetzberger, Thomas Münzer, Martin Kampel:
Non-obtrusive 3d body tracking for automated mobility assessment in independently living older persons. Results of a pilot trial. e4 - Prasannavenkatesan Theerthagiri, C. Gopala Krishnan, Nishan A. H.:
Prognostic Analysis of Hyponatremia for Diseased Patients Using Multilayer Perceptron Classification Technique. e5
Volume 7, Number 27, 2021
- Manik Sharma:
m-health services for COVID-19 afflicted and infected victims. e1 - Tin Trung Nguyen, Thai Hoang Le:
Fusion of Attentional and Traditional Convolutional Networks for Facial Expression Recognition. e2 - M. J. Barman, D. Deb, M. K. Hassan, B. Choudhury:
Review on the Role of Macular Edema in Retinopathy, Blindness and Automated Diagnosis Methods. e3 - Willone Lim, Bee Theng Lau, Caslon Chua, Fakir M. Amirul Islam:
Do information and communication technologies influence skills, competencies, health and well-being of teenagers? Current evidence. e4 - Sanjeev Dhawan, Kulvinder Singh, Mamta Arora:
Cervix Image Classification for Prognosis of Cervical Cancer using Deep Neural Network with Transfer Learning. e5 - K. K. D. Ramesh, G. Kiran Kumar, K. Swapna, Debabrata Datta, S. Suman Rajest:
A Review of Medical Image Segmentation Algorithms. e6
Volume 7, Number 28, 2021
- Bhawna Dhruv, Neetu Mittal, Megha Modi:
Early and Precise Detection of Pancreatic Tumor by Hybrid Approach with Edge Detection and Artificial Intelligence Techniques. e1 - Jie Li, Wei Wei Goh, NZ Jhanjhi, Filzah Binti Md Isa, Sumathi Balakrishnan:
An Empirical Study on Challenges Faced by the Elderly in Care Centres. e2 - G. N. Balaji, S. Venkata Suryanarayana, Sengathir Janakiraman:
Enhanced Boykov's graph cuts based segmentation for Cervical Cancer Detection. e3 - G. Jaya Lakshmi, Mangesh Ghonge, Ahmed J. Obaid:
Cloud based IoT Smart Healthcare System for Remote Patient Monitoring. e4 - Leonardo Bertini, Dario Bruneo, Massimo Mecella, Emilia Reda:
ASSISTO eCARE 4.0 - An IoT- and AI-based architecture for assisted active aging. e5
Volume 7, Number 29, 2021
- Mirza Muntasir Nishat, Fahim Faisal, Rezuanur Rahman Dip, Sarker Md. Nasrullah, Ragib Ahsan, Fahim Shikder, Md. Asfi-Ar-Raihan Asif, Md Ashraful Hoque:
A Comprehensive Analysis on Detecting Chronic Kidney Disease by Employing Machine Learning Algorithms. e1 - Shiva Shankar Reddy, Gadiraju Mahesh, N. Meghana Preethi:
Exploiting Machine Learning Algorithms to Diagnose Foot Ulcers in Diabetic Patients. e2 - Nagaraj M. Lutimath, Neha Sharma, Byregowda B. K:
Prediction of Heart Disease using Biomedical Data through Machine Learning Techniques. e3 - Puneet Kumar, Rakesh Kumar, Meenu Gupta:
Deep Learning Based Analysis of Ophthalmology: A Systematic Review. e4 - Neophytos Polydorou, Abbas Edalat:
An interactive VR platform with emotion recognition for self-attachment intervention. e5
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