A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System حسب Ekinci, Serdar

"…CEC2019 test suite is also used to perform ablation experiments to reveal the separate contributions of chaotic local search and modified opposition-based learning strategies to the CmOBL-AO algorithm. …"
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

A Multi-Channel Convolutional Neural Network approach to automate the citation screening process حسب Raymon van Dinter (10521952)

"…This study aims to automate the citation screening process using Deep Learning algorithms. With this, it is aimed to reduce the time and costs of the citation screening process and increase the precision and recall of the relevant primary studies. …"

VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems حسب Hisham A. Kholidy (18891802)

Cross-linguistic authorship attribution and gender profiling. Machine translation as a method for bridging the language gap حسب George Mikros (19197997)

Defining quantitative rules for identifying influential researchers: Insights from mathematics domain حسب Ghulam Mustafa (458105)

Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings حسب Ahmad Yaser Alhaddad (7017434)

"…Additionally, we evaluate the performance of the best developed model with children. Machine learning algorithms experiments showed that XGBoost achieved the best performance across all metrics (e.g., accuracy of 90%) and provided fast predictions (i.e., 0.004 s) for the test samples. …"

Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3 حسب Chakar, Joseph

"…Deep learning algorithms have demonstrated remarkable performance in many sectors and have become one of the main foundations of modern computer-vision solutions. …"
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LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications حسب Aldamani, Raghad

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DASSI: differential architecture search for splice identification from DNA sequences حسب Shabir Moosa (14153316)

"…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …"

An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids حسب Ifeoluwa Wole-Osho (14151315)

"…A polynomial correlation model, the adaptive neuro-fuzzy inference system model and an artificial neural network model optimised with three different learning algorithms. The adaptive neuro-fuzzy inference system model was most accurate in forecasting the thermal conductivity of the Al₂O₃–ZnO hybrid nanofluid with an R² value of 0.9946.…"

Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

"…The conducted computational experiments show that the proposed FSS and GRASP algorithm significantly outperforms existing methods for the bi-objective MWVCP. …"

Teachers' Perceptions of the Role of Artificial Intelligence in Facilitating Inclusive Practices for Students with Special Educational Needs and Disabilities: A Case Study in a Pri... حسب BACHIR, HIBAH AHMAD

"…In light of the results, the study disclosed that AI tools such as Immersive Reader, Edmentum Study Island, Quizizz, and ChatGPT enhance personalised learning, student engagement, as well as independent learning for SEND students. …"
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

"…Datasets with such characteristics pose a challenge to machine learning algorithms. This is because they impede the training and testing process and entail high resource computations that deteriorate the classification performance. …"
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Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases حسب Muhammad Ali Muzammil (17910611)

"…However, the ECG can be interpreted differently by humans depending on the interpreter's level of training and experience, which could make diagnosis more difficult. …"

A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks حسب Yassine Himeur (14158821)

"…Experimental results on simulated and real datasets collected at two regions, which have extremely different climate conditions, confirm that the proposed deep micro-moment architecture outperforms other machine learning algorithms and can effectively detect anomalous patterns. …"

Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) حسب Elaine Beller (44602)

"…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …"

User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations حسب Abbas, Nadine Fawaz

"…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …"
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Sentiment visualization of correlation of loneliness mapped through social intelligence analysis حسب Hurmat Ali Shah (18192889)

"…In the first part, we employ NLP techniques and machine learning algorithms to extract and analyze tweets containing keywords related to loneliness. …"