A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

“…Accurate and timely detection of plant diseases is crucial for sustainable agriculture and food security. …”
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An Ensemble Fuzzy-Based Deep Learning Framework for Automatic Detection of Children with ADHD From EEG Signal by Jalil Manafian, Mehdi Fazli, Onur Ilhan, Subhiya Zeynalli, Sukaina Tuama Ghafel

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Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification by Amilcar Quispe-Astorga, Roger Jesus Coaquira-Castillo, L. Walter Utrilla Mego, Julio Cesar Herrera-Levano, Yesenia Concha-Ramos, Erwin J. Sacoto-Cabrera, Edison Moreno-Cardenas

“…This study proposes an automatic real-time fault detection and diagnosis system. It classifies events as either faulty or normal by analyzing key status signals such as pressure, temperature, current, and voltage. …”
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Detection of single nucleotide polymorphisms associated with litter size in goats using genotyping-by-sequencing and association analysis by Satoshi Kubota, Thara Wongdee, Pramote Paengkoum

“…Results An average of 304,852 SNPs were initially detected in the 31 female goats. After filtering, 21,665 SNPs were retained. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…This manuscript proposes a Modified Coati Optimization Driven Blockchain for Healthcare Disease Detection and Classification (MCODBC-HDDC) method. …”
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α-Copaene is an attractant, synergistic with quercivorol, for improved detection of Euwallacea nr. fornicatus (Coleoptera: Curculionidae: Scolytinae). by Paul E Kendra, David Owens, Wayne S Montgomery, Teresa I Narvaez, Gary R Bauchan, Elena Q Schnell, Nurhayat Tabanca, Daniel Carrillo

“…Due to the threat to this economically important crop, research was initiated to evaluate efficacy of kairomone-based lures for detection of the beetle in Florida (termed the Florida tea shot hole borer, FL-TSHB). …”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…Abstract Underwater object detection (UOD) is essential in maritime environmental study and underwater species protection. …”
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Scaling-up the Xpert MTB/RIF assay for the detection of tuberculosis and rifampicin resistance in India: An economic analysis. by Sunil Khaparde, Neeraj Raizada, Sreenivas Achuthan Nair, Claudia Denkinger, Kuldeep Singh Sachdeva, Chinnambedu Nainarappan Paramasivan, Virender Singh Salhotra, Anna Vassall, Anja Van't Hoog

“…<h4>Background</h4>India is considering the scale-up of the Xpert MTB/RIF assay for detection of tuberculosis (TB) and rifampicin resistance. …”
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Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations by Khaled Sarieddine, Mohammad Ali Sayed, Sadegh Torabi, Ribal Atallah, Chadi Assi

“…In this paper, an edge-based approach for the detection and localization of coordinated oscillatory load attacks initiated by exploited EV charging stations against the power grid is investigated. …”
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Engaging private providers to enhance tuberculosis detection and notification: evidence from TB REACH-Supported projects by Md. Toufiq Rahman, William A. Wells, Oriol Ramis, Vishnu V. Kamineni, Mirjam I. Bakker, Sode Matiku, Miranda Brouwer, Jacob Creswell

“…However, PP’s potential for enhancing TB detection remains underutilized. Methods TB REACH is an initiative of Stop TB Partnership focused on improving TB detection and notification. …”
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A Lightweight and High-Performance YOLOv5-Based Model for Tea Shoot Detection in Field Conditions by Zhi Zhang, Yongzong Lu, Yun Peng, Mengying Yang, Yongguang Hu

“…To address this issue, a lightweight and high-performance model was developed based on YOLOv5 for detecting tea shoots in field conditions. Initially, a dataset was constructed based on 1862 images of the tea canopy shoots acquired in field conditions, and the “one bud and one leaf” region in the images was labeled. …”
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An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

“…Electricity theft is a major issue that disrupts utilities and compromises the stability of urbanized Smart Grids (SG), leading to significant financial losses, operational disruptions, and compromised system stability. Traditional detection systems often face challenges like severe data discrepancies, high class imbalance, and volatile consumption patterns, which hinder their ability to detect abnormal movements and limit system dependability. …”
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Feasibility of an Inductive Pedicle Screw Loosening Detection Concept Using a Pulse Induction Metal Detector by Ramon Rohner, David E. Bauer, Martin Hartmann, Tobias Gotschi, Mazda Farshad, Jonas Widmer

“…Disadvantages of CT include low sensitivity and specificity for the detection of loosened screws as well as the need for radiation exposure. …”
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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…Machine learning (ML) plays a crucial role in cybersecurity by making malware detection more scalable, efficient, and automated, reducing reliance on conventional human intervention methods. …”
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Advancing Road Safety: A Comprehensive Evaluation of Object Detection Models for Commercial Driver Monitoring Systems by Huma Zia, Imtiaz ul Hassan, Muhammad Khurram, Nicholas Harris, Fatima Shah, Nimra Imran

“…This paper addresses the critical issue of road safety in the indispensable role of transportation for societal well-being and economic growth. Despite global initiatives like Vision Zero, traffic accidents persist, largely influenced by driver behavior. …”
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Development and Validation of Hospital Mental Health Screen to Detect Psychiatric Morbidity in Medically Ill Patients in India by Roshan Sutar, Anuja Lahiri, Rashida Ali, Vindhya Solanki, Anindo Majumdar, Manoj Sharma, Santosh Chaturvedi

“…We used IBM SPSS version 23. Results: Initially, 34 items were generated. At the I-CVI threshold of 79%, seven items were discarded. …”
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A Method for Landslide Deformation Detection Based on Projection Surface Element Matching of 3D Models by Mengxi Sun, Hui Cao, Yansong Duan

“…Initially, UAVs are deployed to perform multi‐temporal photogrammetric surveys of the landslide‐affected area, enabling the construction of high‐resolution 3D models. …”
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Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition by Huawei Zhou, Liang Zhu, Yihong Zhou, Dongfeng Li, Tao Fang, Chunju Zhao, Zhipeng Liang, Fang Wang, Lei Lei

“…Initially, a preliminary screening-shooting integrated detection device is developed based on the particle size range and the proportion of fully graded earth-rock materials. …”
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EF yolov8s: A Human–Computer Collaborative Sugarcane Disease Detection Model in Complex Environment by Jihong Sun, Zhaowen Li, Fusheng Li, Yingming Shen, Ye Qian, Tong Li

“…This paper proposes a human–machine collaborative sugarcane disease detection method in complex environments. Initially, data on five common sugarcane diseases—brown stripe, rust, ring spot, brown spot, and red rot—as well as two nutrient deficiency conditions—sulfur deficiency and phosphorus deficiency—were collected, totaling 11,364 images and 10 high-definition videos captured by a 4K drone. …”
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

“…Abstract Autism Spectrum Disorder (ASD) affects approximately $$1\%$$ of the global population and is characterized by difficulties in social communication and repetitive or obsessive behaviors. Early detection of autism is crucial, as it allows therapeutic interventions to be initiated earlier, significantly increasing the effectiveness of treatments. …”
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