Usman Ullah Sheikh
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View article: Web- Based Smart Skills and Job Role Mapping System using Data Science and Machine Learning
Web- Based Smart Skills and Job Role Mapping System using Data Science and Machine Learning Open
This paper presents a Web-Based Smart Skills and Job Role Mapping System that employs TF-IDF vectorization and Cosine Similarity to compute high-dimensional similarity scores between user skill vectors and job-role embeddings. A hybrid rec…
View article: CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer
CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer Open
Underwater acoustic target classification has become a key area of research for marine vessel classification, where machine learning (ML) models are leveraged to identify targets automatically. The major challenge is inserting area-specifi…
View article: Outdoor RGB and Point Cloud Depth Dataset for Palm Oil Fresh Fruit Bunch Ripeness Classification and Localization
Outdoor RGB and Point Cloud Depth Dataset for Palm Oil Fresh Fruit Bunch Ripeness Classification and Localization Open
View article: Speed Based Adaptive Lighting & AlertTechnology for Vehicles
Speed Based Adaptive Lighting & AlertTechnology for Vehicles Open
Today in India, we encounter numerous road accidents, resulting in permanent injuries for many individuals and fatalities for some. Major contributors to these accidents include inadequate lighting conditions, difficulty in assessing vehic…
View article: The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment Open
OBJECTIVE: Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical data are abundant, these are largely inaccessible to outside researchers. Statisti…
View article: Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability
Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability Open
Accurate prediction of power output from a photovoltaic (PV) system is crucial for ensuring operational efficiency. This study addresses the challenge of predicting plant-scale PV power output by integrating automated machine learning (Aut…
View article: Enhanced Occluded Pedestrian Detection Using Multi-Level Attention Network on Infrared Imagery for Autonomous Vehicle Application
Enhanced Occluded Pedestrian Detection Using Multi-Level Attention Network on Infrared Imagery for Autonomous Vehicle Application Open
View article: Assessing the Detection Capabilities of RGB and Infrared Models for Robust Occluded and Unoccluded Pedestrian Detection
Assessing the Detection Capabilities of RGB and Infrared Models for Robust Occluded and Unoccluded Pedestrian Detection Open
Pedestrian detection is a critical component of autonomous vehicle systems, particularly under challenging conditions where visibility may be compromised due to occlusion or low-light. This study presents a comparative analysis of RGB (vis…
View article: Incidental Idiopathic Left Uncal Herniation: A Case Study and Literature Review
Incidental Idiopathic Left Uncal Herniation: A Case Study and Literature Review Open
Background: Idiopathic uncal herniation in patients is a very rare phenomenon, with only two cases documented in the English literature. Case Report: The authors report a previously fit and well patient in their 60’s who presented with a 1…
View article: Trends in antimicrobial susceptibility pattern of infectious agents isolated during febrile neutropenia (FN) events of acute lymphoblastic leukemia (AL) patients from pakistan
Trends in antimicrobial susceptibility pattern of infectious agents isolated during febrile neutropenia (FN) events of acute lymphoblastic leukemia (AL) patients from pakistan Open
AIM: To evaluate trends in antimicrobial susceptibility patterns of infectious agents isolated in Febrile neutropenia patients of Acute Lymphoblastic Leukemia. BACKGROUND: FN is the most feared complication amongst hematopoietic cancer pat…
View article: Climate-Smart Agriculture: A Path to Sustainable Food Production
Climate-Smart Agriculture: A Path to Sustainable Food Production Open
Climate-smart agriculture (CSA) is an integrated approach to farming that focuses on increasing agricultural productivity, enhancing resilience to climate change, and reducing greenhouse gas (GHG) emissions while ensuring sustainability an…
View article: Application of Machine Learning to Forecast Solar Photovoltaic Output Power
Application of Machine Learning to Forecast Solar Photovoltaic Output Power Open
Due to the intermittent behaviour of the sun, accurate prediction of solar photovoltaic (PV) power is crucial for efficient and reliable operation of solar power plants. This paper presents state of the art approach for PV panels power pre…
View article: Developing Convolutional Neural Network for Recognition of Bone Fractures in X-ray Images
Developing Convolutional Neural Network for Recognition of Bone Fractures in X-ray Images Open
In the domain of clinical imaging, the exact and quick identification proof of bone fractures assumes a crucial part in a pivotal role in facilitating timely and effective patient care. This research tends to this basic need by harnessing …
View article: Autonomous Vehicles Perception, Acceptance, and Future Prospects in the GCC: An Analysis Using the UTAUT-Based Model
Autonomous Vehicles Perception, Acceptance, and Future Prospects in the GCC: An Analysis Using the UTAUT-Based Model Open
The emergence of Autonomous Vehicles (AVs) marks a significant advancement in the automotive industry, transitioning from driver-assistance technologies to fully autonomous systems. This change is particularly impactful in the Gulf Coopera…
View article: Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <span>COVID</span> cohort collaborative (<span>N3C</span>) experience Open
Introduction Research driven by real‐world clinical data is increasingly vital to enabling learning health systems, but integrating such data from across disparate health systems is challenging. As part of the NCATS National COVID Cohort C…
View article: Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding
Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding Open
Given the significant impact of the UN 2015 agenda on sustainable development, the search for eco-friendly and efficient energy solutions has intensified. The renewable based hybrid systems have emerged as feasible solution in this context…
View article: Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features
Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features Open
Human action recognition has become one of the main topics in the computer vision field due to its high demand and competitiveness in real-world applications. The main goals of human action recognition are to improve classification accurac…
View article: Classification of COVID-19 and lung opacity using vision transformer on chest x-ray images
Classification of COVID-19 and lung opacity using vision transformer on chest x-ray images Open
There are several recent works which had proposed an automatic computer-aided diagnosis (CAD) deep learning (DL) model to diagnose coronavirus disease 2019 (COVID-19) using chest x-ray images (CXR) to propose a high-accuracy CAD method to …
View article: Drowsiness Detection using Galvanic Skin Response and Electro-occulograph
Drowsiness Detection using Galvanic Skin Response and Electro-occulograph Open
Galvanic Skin Response (GSR) is widely used in psychological applications, mostly stress detection. Hence, people always put a limitation on GSR for stress detection only. Therefore, the challenge in this study is to expand the usage of GS…
View article: Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique
Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique Open
Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-L…
View article: Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome
Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome Open
View article: Cascading Pose Features with CNN-LSTM for Multiview Human Action Recognition
Cascading Pose Features with CNN-LSTM for Multiview Human Action Recognition Open
Human Action Recognition (HAR) is a branch of computer vision that deals with the identification of human actions at various levels including low level, action level, and interaction level. Previously, a number of HAR algorithms have been …
View article: Comparative analysis of influencing factors on pedestrian road accidents
Comparative analysis of influencing factors on pedestrian road accidents Open
Road accident data includes detailed information about incidents that occurred, such as where they happened, the severity of the accident, and the number of people on the road at the time. Such information is useful in determining the caus…
View article: Incoherent and Online Dictionary Learning Algorithm for Motion Prediction
Incoherent and Online Dictionary Learning Algorithm for Motion Prediction Open
Accurate model development and efficient representations of multivariate trajectories are crucial to understanding the behavioral patterns of pedestrian motion. Most of the existing algorithms use offline learning approaches to learn such …
View article: Fusion of Thermal and Depth Image to Improve Human Segmentation for a Mobile Robot
Fusion of Thermal and Depth Image to Improve Human Segmentation for a Mobile Robot Open
In machine vision, surveillance systems are a kind of security that concentrates on the safety of the human and property. One of the main tasks of a surveillance system is the detection of humans. This paper presents a system of human dete…
View article: Tongue Colour Diagnosis System Using Convolutional Neural Network
Tongue Colour Diagnosis System Using Convolutional Neural Network Open
Tongue diagnosis is known as one of the effective and yet noninvasive techniques to evaluate patient’s health condition in traditional oriental medicine such as traditional Chinese medicine and traditional Korean medicine. However, due to …
View article: Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow
Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow Open
Current development in precision agriculture has underscored the role of machine learning in crop yield prediction. Machine learning algorithms are capable of learning linear and nonlinear patterns in complex agro-meteorological data. Howe…
View article: Temperature Variation Operation of Mixed-VT 3T GC-eDRAM for Low Power Applications in 2Kbit Memory Array
Temperature Variation Operation of Mixed-VT 3T GC-eDRAM for Low Power Applications in 2Kbit Memory Array Open
Embedded memories were once utilized to transfer information between the CPU and the main memory. The cache storage in most traditional computers was static-random-access-memory (SRAM). Other memory technologies, such as embedded dynamic r…
View article: Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference
Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference Open
View article: Techno-economic modelling of hybrid energy system to overcome the load shedding problem: A case study of Pakistan
Techno-economic modelling of hybrid energy system to overcome the load shedding problem: A case study of Pakistan Open
This paper demonstrates the application of hybrid energy system (HES) that comprises of photovoltaic (PV) array, battery storage system (BSS) and stand-by diesel generator (DGen) to mitigate the problem of load shedding. The main work invo…