Model Reference Adaptive Sensorless Control of Variable-Speed Pumped Storage Doubly Fed Induction Machine Under Reversible Operations by Zhi Zheng, Ziqiang Man, Shuxin Tan, Wei Yan, Yu Lu, Jie Tian, Weiqun Liu, Xu Wang

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Fatigue Detection in Air Traffic Controllers: A Comprehensive Review by Hui Pan, Yi Hu, Yanjun Wang, Vu Duong

“…Air traffic controllers play a crucial role in overseeing and managing dynamic flight operations. The issue of their fatigue is intrinsically linked to aviation safety, thus detecting fatigue states in controllers is vital for operational control and training. …”
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Enhancing Fabric Detection and Classification Using YOLOv5 Models by Makara Mao, Jun Ma, Ahyoung Lee, Min Hong

“…The YOLO series is widely recognized for its efficiency in the real-time detection of objects within images and videos. Accurately identifying and classifying fabric types in the textile industry is vital to ensuring quality, managing supply, and increasing customer satisfaction. …”
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Exploiting Gaussian based effective receptive fields for object detection by Xiaoxia Qi, Md Gapar Md Johar, Ali Khatibi, Jacquline Tham

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Capacity Constraint Analysis Using Object Detection for Smart Manufacturing by Hafiz Mughees Ahmad, Afshin Rahimi, Khizer Hayat

“…The increasing adoption of Deep Learning (DL)-based Object Detection (OD) models in smart manufacturing has opened up new avenues for optimizing production processes. …”
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An advanced deep learning method for pepper diseases and pests detection by Xuewei Wang, Jun Liu, Qian Chen

“…Comparative experiments highlight YOLO-Pepper’s superiority over nine benchmark models, particularly in detecting small and occluded targets. By addressing computational inefficiencies and refining small object detection capabilities, YOLO-Pepper provides robust technical support for intelligent agricultural monitoring systems, making it a highly effective tool for early disease detection and integrated pest management in commercial greenhouse operations.…”
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Lightweight highland barley detection based on improved YOLOv5 by Minghui Cai, Hui Deng, Jianwei Cai, Weipeng Guo, Zhipeng Hu, Dongzheng Yu, Houxi Zhang

“…Abstract Accurate and efficient assessment of highland barley (Hordeum vulgare L.) density is crucial for optimizing cultivation and management practices. However, challenges such as overlapping spikes in unmanned aerial vehicle (UAV) images and the computational requirements for high-resolution image analysis hinder real-time detection capabilities. …”
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Medical Management of Pyometra in the Delayed Postoperative Period by Natalie A. Vukmer, Heather Urrego, A. Mitch Dizon

“…As demonstrated in this report, early detection and conservative management may help prevent serious complications such as uterine perforation, lead to shorter hospital stays, and result in safer operative management.…”
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Introduction of neural network technologies to optimise the control of the operating modes of a sucker-rod pump installation by O. Turchyn

“…The study used data analysis and adaptive management methods to optimise the operation of the SRP. …”
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A Scoping Review and Assessment Framework for Technical Debt in the Development and Operation of AI/ML Competition Platforms by Dionysios Sklavenitis, Dimitris Kalles

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Experimental investigation of the effect of intermittent operation on membranes in wind-powered SWRO plants, focusing on frequent start-stop scenarios by José A. Carta, Pedro Cabrera, Noemi Melián-Martel, Sigrid Arenas-Urrea

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Assessment of Indoor Thermo-Hygrometric Conditions and Energy Demands Associated to Filters and Dampers Faults via Experimental Tests of a Typical Air-Handling Unit During Summer a... by Antonio Rosato, Mohammad El Youssef, Rita Mercuri, Armin Hooman, Marco Savino Piscitelli, Alfonso Capozzoli

“…The results of this study can be exploited by researchers, facility managers, and building operators to better recognize root causes of faulty evidences in AHUs and also to develop and test new FDD tools.…”
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Anomaly Detection for Suspension Systems Based on the Gaussian Distribution of Hyperspheres by Ping WANG, Zi MEI, Zhiqiang LONG

“…Accurately detecting the abnormality of the suspension system helps managers allocate limited monitoring resources reasonably, arrange preventive maintenance plans in advance, reduce unplanned maintenance costs, and reduce accident rates. …”
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VPN Traffic Analysis: A Survey on Detection and Application Identification by Yasameen Sajid Razooqi, Adrian Pekar

“…While VPNs enhance user privacy and security, they also create blind spots for network operators, potentially concealing malicious activities or hindering performance management. …”
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Advancements in Fault Detection and Intelligent Diagnostics for Wastewater Treatment Processes by Wei ZOU, Shuang LI, Huiqiang MA

“…Addressing how to intelligently monitor operational conditions of process equipment and enhance fault management has emerged as a hot research topic due to the significant safety incidents and environmental pollution events that faults in wastewater treatment systems can cause. …”
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Using lightweight method to detect landslide from satellite imagery by Jinchi Dai, Xiaoai Dai, Renyuan Zhang, JiaXin Ma, Wenyu Li, Heng Lu, Weile Li, Shuneng Liang, Tangrui Dai, Yunfeng Shan, Donghui Zhang, Lei Zhao

“…Accurate, rapid, and automated landslide detection is crucial for early warning, emergency management, and landslide mechanism analysis. …”
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Advancing food security: The role of machine learning in pathogen detection by Helen Onyeaka, Adenike Akinsemolu, Taghi Miri, Nnabueze Darlington Nnaji, Clinton Emeka, Phemelo Tamasiga, Gu Pang, Zainab Al-sharify

“…Machine Learning (ML) has emerged as an important advancement in pathogen detection, particularly in the field of food safety. …”
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Optimization of Configuration Design for Underwater Dam Defect Detection Vehicles by Hong-Xia Cheng, Mei-Jie Cao, Peng-Fei Xu, Yan Kai, Zi-Peng Wang, Gang Wan, Qiao Hu

“…Hydropower stations and dams play a crucial role in water management, ecology, and energy. To meet the requirements of underwater dam defect detection, this study develops a streamlined underwater vehicle design and operational framework inspired by bionic principles. …”
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Remote Aerial Vehicle Solutions for Weed Detection in Precision Agriculture by Shekhar S. Borah, Aryan Anand, Prabha Sundaravadivel, Reginald Fletcher, Krishna N. Reddy

“…A custom, high-resolution dataset comprising RGB (red, green, and blue) and multispectral images was collected from USDA operated fields and manually annotated for target pigweed detection. …”
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Recent Advancement in Small Traffic Sign Detection: Approaches and Dataset by R. Suresha, N. Manohar, G. Ajay Kumar, M. Rohit Singh

“…Detecting small traffic signs is essential for autonomous vehicles (AV) to operate safely, adhere to traffic regulations, navigate effectively, maintain situational awareness, adapt to local conditions, and overcome the technical challenges associated with diverse environments. …”
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