Volume 3, Issue 4
Volume 3, Issue 4 Download Complete Issue This issue presents four innovative studies that tackle diverse challenges across multiple domains. One paper introduces a novel
Journal Menu
Journal Browser
Special Issues
Special Issue on Computing, Engineering and Sciences
Guest Editors: Prof. Paul Andrew
Deadline: 30 April 2025
Special Issue on Advances in Medical Imaging: Novel Techniques and Clinical Applications
Guest Editors: Muhammad Yaqub, Atif Mehmood, Muhammad Salman Pathan
Deadline: 31 December 2024
Special Issue on Medical Imaging based Disease Diagnosis using AI
Guest Editors: Azhar Imran, Anas Bilal, Saif ur Rehman
Deadline: 31 December 2024
Special Issue on Multidisciplinary Sciences and Advanced Technology
Guest Editors: Paul Andrew
Deadline: 15 October 2024
Volume 3, Issue 4 Download Complete Issue This issue presents four innovative studies that tackle diverse challenges across multiple domains. One paper introduces a novel
Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier by Abdullah Y. Al-Maliki 1,* , Kamran Iqbal 1 and Gannon White 2 1 Department of
Asthma Monitoring Systems Based on Electro-Infrared Sensors: A Review by Auns Qusai Al-Neami 1, Â and Zina Ali Abed 2,* 1 Biomedical Engineering Department, College of
Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study by Nicolas Pajot, Mounir Boukadoum* Â Department of Computer Science, University of Quebec at Montreal,
Volume 1, Issue 10 Download Complete Issue This issue encapsulates the breadth and significance of contemporary research across multiple disciplines. Studies span critical analyses of
CANClassify: Automated Decoding and Labeling of CAN Bus Signals by Paul Ngo 1,* , Jonathan Sprinkle 2Â , Rahul Bhadani 3 1 University of California, Berkeley,
Images Compression using Combined Scheme of Transform Coding by Zainab Jawad Ahmed 1,* , Loay Edwar George 2 , Raad Ahmed Hadi 3 1 Department
Factorial Analysis to Categories Spread and Effect of Ebola Virus from Various Countries by Venu Paritala * , Harsha Thummala  Department of BioTechnology Vignan’s Foundation
Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning by Charles Darko *  Department of Materials, The University of Manchester, Oxford Road, Manchester, M13
Volume 1, Issue 5 Download Complete Issue This issue presents a collection of 26 scholarly research endeavors that exemplify the breadth and depth of contemporary
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.