Computer Science & Engineering: Recent submissions
Now showing items 21-40 of 2520
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Optimizing High-Altitude UAV Object Detection with Deep Learning
( IEEE , 2024 , Conference)The impressive advancements in computer vision have endowed unmanned aerial vehicles (UAVs) with intelligence, enabling them to undertake diverse tasks such as object detection, tracking, and counting. Nevertheless, ... -
Transforming Tabular Data for Multi-Modality: Enhancing Breast Cancer Metastasis Prediction Through Data Conversion
( IEEE , 2024 , Conference)Breast cancer metastasis prediction plays a key role in clinical decision-making and secondary analysis. Traditionally, metastasis classification models have been developed using structured tabular clinical data, but these ... -
State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches
( IEEE , 2024 , Article)Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and reliability, where machine learning ... -
Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty
( IEEE , 2025 , Article)Accurate state-of-charge (SoC) estimation is crucial for enhancing the performance, longevity, safety, and reliability of lithium-ion batteries (LiBs) in electric vehicles (EVs). This study presents a comprehensive machine ... -
PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue
( IEEE , 2025 , Article)This article introduces a comprehensive frame-work for Post-Disaster Search and Rescue (PDSR), aiming to optimize search and rescue operations leveraging Unmanned Aerial Vehicles (UAVs). The primary goal is to improve the ... -
ONDS: Optimum Node and Data Selection From Constrained IoT for Efficient Online Learning
( IEEE , 2025 , Article)Supervised Machine Learning (ML) models require large amounts of labeled data for training. However, this becomes challenging when dealing with resource- and network-constrained Internet of Things (IoT) devices that collect ... -
Blockchain-enabled distributed learning for enhanced smart grid security and efficiency
( Elsevier , 2025 , Article)This study introduces a secure, adaptable, and decentralized learning framework empowered by blockchain technology to enhance smart grid security and efficiency. Security is achieved through blockchain’s ledger, ensuring ... -
Two reinforcement learning strategies based meta-heuristics for scheduling partial reentrant distributed flow-shops.
( American Institute of Mathematical Sciences , 2025 , Article)Reentrant or partial reentrant widely exists in practical manufacturing scenarios, which is rarely considered in literature. This work investigates a distributed flow-shop scheduling problem with partial reentrant constraint ... -
Hybrid training of deep neural networks with multiple output layers for tabular data classification
( Elsevier , 2025 , Article)In the rapidly evolving landscape of deep learning, the ability to balance performance and computational efficiency is indispensable. Layer-wise training, which involves independently training each hidden layer of a neural ... -
A novel spherical fuzzy-based decision model for assessing data management maturity in governmental institutions
( Springer , 2025 , Article)The capability of government institutions to manage data effectively is fundamental to their operational efficiency and innovation potential. Governments face unique challenges, including rapid data generation, evolving ... -
Analyzing AI Readiness through Digital Transformation and Data Management: A Case Study of Qatar's Government Sector
( Natural Sciences Publishing , 2025 , Article)This paper investigates the Artificial Intelligence (AI) readiness of government institutes, focusing on the criteria of the two critical areas of Digital Transformation and Data Management. We conduct interviews with 21 ... -
Carbon footprint of global Bitcoin mining: emissions beyond borders
( Springer , 2025 , Article)Executing a single Bitcoin transaction equates approximately to the greenhouse gas emissions of a moderate-sized electric or gasoline engine sedan vehicle traveling between 1600 and 2600 km. This research undertakes an ... -
Government Digital Transformation: A Tailor-Made Digital Maturity Assessment Framework
( Institute of Electrical and Electronics Engineers Inc. , 2025 , Article)Governments seek to implement digital transformation initiatives to improve the effectiveness of their public services. To achieve this, governments need to assess their IT environment and evaluate their digital maturity. ... -
Analysis of Vehicle Breakdown Conditions of Motorcycle Food Delivery Riders with Demographics and Work Characteristics
( Elsevier , 2025 , Conference)Motorcycle food delivery riders (MFDRs) in Qatar often maximize their income by completing more rides and disregarding regular maintenance of vehicles. This could result in motorcycle breakdowns that could affect the safety ... -
CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning
( Nature Portfolio , 2025 , Article)Oral cancer has a high mortality rate primarily due to delayed diagnoses, highlighting the need for early detection of oral lesions. This study presents a novel deep learning framework for multi-class classification-based ... -
Leader-Follower Formation of a Car-Like Robot Using ROS and Trajectory Tracking
( Springer Nature Link , 2025 , Conference)This paper explores the integration of the Robot Operating System (ROS) with human-robot interaction models for autonomous vehicle navigation in social robotics. Utilizing ROS as middleware, OptiTrack for positioning and ... -
Privacy preserving large language models: ChatGPT case study based vision and framework
( John Wiley and Sons Inc , 2024 , Article)The generative Artificial Intelligence (AI) tools based on Large Language Models (LLMs) use billions of parameters to extensively analyse large datasets and extract critical information such as context, specific details, ... -
R2S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild
( Springer , 2025 , Article)Semantic understanding of roadways is a key enabling factor for safe autonomous driving. However, existing autonomous driving datasets provide well-structured urban roads while ignoring unstructured roadways containing ... -
Deep learning based multimodal urban air quality prediction and traffic analytics
( Nature Research , 2023 , Article)Urban activities, particularly vehicle traffic, are contributing significantly to environmental pollution with detrimental effects on public health. The ability to anticipate air quality in advance is critical for public ... -
Robust multi-label surgical tool classification in noisy endoscopic videos
( Nature Research , 2025 , Article)Over the past few years, surgical data science has attracted substantial interest from the machine learning (ML) community. Various studies have demonstrated the efficacy of emerging ML techniques in analysing surgical ...
