Computer Science & Engineering
Recent Submissions
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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 ... -
LimitAccess: on-device TinyML based robust speech recognition and age classification
( Springer Nature , 2023 , Article)Automakers from Honda to Lamborghini are incorporating voice interaction technology into their vehicles to improve the user experience and offer value-added services. Speech recognition systems are a key component of smart ... -
Author Correction: Arabic natural language processing for Qur'anic research: a systematic review (Artificial Intelligence Review, (2023), 56, 7, (6801-6854), 10.1007/s10462-022-10313-2)
( Springer Nature , 2023 , Article)It contains some errors, please see the Arabic NLP paper and the yellow highlights therein. These rendering errors (rendering of the Arabic text). (Figure presented.) these errors should be corrected (Figure presented.) ... -
Generative AI and the Metaverse: A Scoping Review of Ethical and Legal Challenges
( IEEE , 2025 , Article Review)The metaverse, a pioneering digital realm merging virtual and augmented realities with Artificial Intelligence (AI), represents a transformative environment where digital and physical realities converge seamlessly. Generative ... -
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
( IEEE , 2025 , Article)Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization ... -
Enhancing Cross-Language Multimodal Emotion Recognition With Dual Attention Transformers
( IEEE , 2024 , Article)Despite the recent progress in emotion recognition, state-of-the-art systems are unable to achieve improved performance in cross-language settings. In this article we propose a Multimodal Dual Attention Transformer (MDAT) ... -
Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses
( Association for Computing Machinery , 2024 , Article)Metaverse is expected to emerge as a new paradigm for the next-generation Internet, providing fully immersive and personalized experiences to socialize, work, and play in self-sustaining and hyper-spatio-temporal virtual ... -
Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare
( IEEE , 2024 , Article)In the modern landscape of information and communication technologies, the current healthcare industry confronts significant challenges. These include a shortage of experienced medical professionals, disparities in access ...
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