Artificial Intelligence Algorithms and Their Current Role in the Identification and Comparison of Gleason Patterns in Prostate Cancer Histopathology: A Comprehensive Review by Usman Khalid, Jasmin Gurung, Mladen Doykov, Gancho Kostov, Bozhidar Hristov, Petar Uchikov, Maria Kraeva, Krasimir Kraev, Daniel Doykov, Katya Doykova, Siyana Valova, Lyubomir Chervenkov, Eduard Tilkiyan, Krasimira Eneva

“…AI algorithms have demonstrated potential in detecting cancer and assigning Gleason grades, offering a solution to the issue of significant variability among pathologists’ evaluations. …”
Get full text

Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

“…A comprehensive dataset analysis is conducted to improve the dataset quality and uncover intricate relationships between features and the target variable. By introducing novel feature importance averaging techniques, a two-phase fault detection and diagnosis framework employing tree-based models is proposed to identify faults from normal cases and diagnose the fault type. …”
Get full text

Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising by Samy Abd El-Nabi, Ahmed F. Ibrahim, El-Sayed M. El-Rabaie, Osama F. Hassan, Naglaa F. Soliman, Khalil F. Ramadan, Walid El-Shafai

“…With the rapid development of intelligent transportation systems and growing emphasis on driver safety, real-time detection of driver drowsiness has become a critical area of research. …”
Get full text

Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion by Qiang Wang, Shiyu Guan, Shuchang Lyu, Guangliang Cheng

Get full text

Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations by Aurélie Cools, Mohammed Amin Belarbi, Sidi Ahmed Mahmoudi

Get full text

YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images by Ke Zhang, Ningxuan Zhang, Chaojun Shi, Qiaochu Lu, Xian Zheng, Yujie Cao, Xiaoyun Zhang, Jiyuan Yang

“…This method employs variable input parameters to directly calculate key point distances between predicted and ground-truth boxes, more accurately reflecting positional differences between detection results and reference targets, thus effectively improving the model’s mean Average Precision (mAP). …”
Get full text

STBNA-YOLOv5: An Improved YOLOv5 Network for Weed Detection in Rapeseed Field by Tao Tao, Xinhua Wei

Get full text

Technology and Method Optimization for Foot–Ground Contact Force Detection in Wheel-Legged Robots by Chao Huang, Meng Hong, Yaodong Wang, Hui Chai, Zhuo Hu, Zheng Xiao, Sijia Guan, Min Guo

“…To address this challenge, this study proposes a foot–ground contact state detection technique and optimization method based on multi-sensor fusion and intelligent modeling for wheel-legged robots. …”
Get full text

A Novel Framework for Financial Cybersecurity and Fraud Detection Using XAI-RNN-SGRU by Smarajit Ghosh

“…Traditional network security methods need more scalability, data protection, and difficulty detecting advanced threats. The hybridization of Explainable Artificial Intelligence (XAI) with Ridgelet Neural Network (RNN) and Soft Gated Recurrent Unit (SGRU) (XAI-RNN-SGRU) is introduced to address these challenges. …”
Get full text

Enhancing detection and monitoring of circulating tumor cells: Integrative approaches in liquid biopsy advances by Thanmayi Velpula, Viswanath Buddolla

“…Liquid biopsy offers a minimally invasive method for detecting and monitoring cancer, with key biomarkers including circulating tumor cells (CTCs), cell-free DNA (cfDNA), and extracellular vesicles (EVs). …”
Get full text

Detection of Water Content of Watermelon Seeds Based on Hyperspectral Reflection Combined with Transmission Imaging by Siyi Ouyang, Siwei Lv, Bin Li

Get full text

Optimising Solar Power Plant Reliability Using Neural Networks for Fault Detection and Diagnosis by Mohammed Bouzidi, Abdelfatah Nasri, Omar Ouledali, Messaoud Hamouda

“…This study introduces an intelligent method to monitor grid-connected solar power stations, focussing on detecting problems in their energy output through the use of artificial neural networks (ANN). …”
Get full text

Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM) by Musab Iqtait, Jafar Ababneh, Mohammad Rasmi, Amer Abu-Jassar, Suhaila Abuowaida

Get full text

Research and application of deep learning object detection methods for forest fire smoke recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

“…This disparity primarily arises from the distinct visual characteristics of flames and smoke; flames possess more vivid colors and defined shapes, facilitating easier recognition by the model, whereas smoke exhibits more ambiguous and variable textures and shapes, increasing detection difficulty. …”
Get full text

Rapid detection method for pork freshness using fusion spectroscopy and improved BAS-LSSVM by WANG Yao, REN Xiaozhen

“…Analyze the performance of the proposed method through experiments.ResultsThe experimental method could achieve accurate, rapid, and non-destructive testing of pork freshness (TVB-N), with high detection accuracy and efficiency, the detection correlation coefficient was 0.978 1, the mean square error was 0.302 1, and the average detection time was 0.031 seconds.ConclusionA fast non-destructive testing method for meat freshness (TVB-N) can be achieved by combining spectral detection and intelligent algorithms.…”
Get full text

A Multi-site Information Synchronization Scheme Based on Hankel Matrix Singular Value Decomposition by LI Ye, JIA Na, HE Jiawei, LI Bin, LIU Xiaoming

Get full text

Comparing and Combining Artificial Intelligence and Spectral/Statistical Approaches for Elevating Prostate Cancer Assessment in a Biparametric MRI: A Pilot Study by Rulon Mayer, Yuan Yuan, Jayaram Udupa, Baris Turkbey, Peter Choyke, Dong Han, Haibo Lin, Charles B. Simone

“…The current research applies visual inspection and quantitative approaches, such as artificial intelligence (AI) based on deep learning (DL), to evaluate MRI. …”
Get full text

Identification of dental related ChatGPT generated abstracts by senior and young academicians versus artificial intelligence detectors and a similarity detector by Matheel AL-Rawas, Omar Abdul Jabbar Abdul Qader, Nurul Hanim Othman, Noor Huda Ismail, Rosnani Mamat, Mohamad Syahrizal Halim, Johari Yap Abdullah, Tahir Yusuf Noorani

Get full text

RLDD-YOLOv11n: Research on Rice Leaf Disease Detection Based on YOLOv11 by Kui Fang, Rui Zhou, Nan Deng, Cheng Li, Xinghui Zhu

“…Moreover, the significant variability in disease features poses further challenges to accurate recognition. …”
Get full text

Bangla Character Detection Using Enhanced YOLOv11 Models: A Deep Learning Approach by Mahbuba Aktar, Nur Islam, Chaoyu Yang

“…Recognising the Bangla alphabet remains a significant challenge within the fields of computational linguistics and artificial intelligence, primarily due to the script’s inherent structural complexity and wide variability in writing styles. …”
Get full text