Rolling Cargo Management Using a Deep Reinforcement Learning Approach by Rachid Oucheikh, Tuwe Löfström, Ernst Ahlberg, Lars Carlsson

“…The objective is to teach an autonomous tug master to manage rolling cargo and perform loading and unloading operations while avoiding collisions with static and dynamic obstacles along the way. …”
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A Systematic Review of Intelligent Systems and Analytic Applications in Credit Card Fraud Detection by Ercan Oztemel, Muhammed Isik

“…Despite the increase in the use of credit cards, there is also a significant increase in fraud transactions. To detect and prevent possible fraud operations, banks generally use rule-based techniques or analytical models. …”
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Oil Development Engineering Company, Tehran, Iran by Seyed Ali Mohammad Tajalli, Mazda Moattari, Vahid Naghavi, Mohammad Reza Salehizadeh

“…Leveraging a hybrid approach that combines the Extended Kalman Filter (EKF), Real-Time Transient Modeling (RTTM), and machine learning algorithms, the framework offers accurate insights into the pipeline’s operational status. Moreover, machine learning models, including K-nearest neighbors (KNN) and support vector machines (SVM), enhance anomaly detection precision, allowing for early identification and localization of potential leaks.Ultimately, the proposed framework brings several key benefits to pipeline management, including early anomaly detection, real-time data integration, predictive maintenance, and regulatory compliance. …”
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Unmanned aerial vehicle image detection of maize-YOLOv8n seedling leakage by Jiaxin Gao, Feng Tan, Jiapeng Cui, Zhaolong Hou

“…The model was lightweight, comprising only 1.19 million parameters and requiring 20.2 floating-point operations per second (FLOPs). The inference time was 12.8 ms, satisfying real-time detection requirements. …”
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A Novel Multi-Step Forecasting-Based Approach for Enhanced Burst Detection in Water Distribution Systems by Xi Wan, Raziyeh Farmani, Edward Keedwell, Xiao Zhou

“…Burst detection in water asset management is a crucial issue in ensuring the efficient and sustainable operation of water distribution systems. …”
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ObjectDetection in Agriculture: A Comprehensive Review of Methods, Applications, Challenges, and Future Directions by Zohaib Khan, Yue Shen, Hui Liu

“…Object detection is revolutionizing precision agriculture by enabling advanced crop monitoring, weed management, pest detection, and autonomous field operations. …”
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Towards Explainable Anomaly Detection in Safety-critical Systems: Employing FRAM and SpecTRM in International Space Station Telemetry by Shota Iino, Hideki Nomoto, Takashi Fukui, Sayaka Ishizawa, Yohei Yagisawa, Takayuki Hirose, Yasutaka Michiura

“…The findings underscore the importance of explainability in the machine learning-based anomaly detection of safety-critical systems and suggest a promising avenue for future explorations aimed at bolstering space system health management through improved explainability and operational resilience.…”
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Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

“…Ensuring the reliability and robustness of spacecraft systems remains a key challenge, particularly given the limited feasibility of continuous real-time monitoring during on-orbit operations. In the domain of Fault Detection, Isolation, and Recovery (FDIR), no universal strategy has yet emerged. …”
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Smart parking: intelligent intrusion detection system in VANET enabled car parking system by S Vijayalakshmi, S Bose, G Logeswari, N Maheswaran

“…One of the primary challenges addressed in this research is the prevention of Distributed Denial-of-Service (DDoS) attacks, which occur when multiple users simultaneously request access to the same resources, leading to collisions and disruptions in parking operations. To address this challenge, a Machine Learning (ML)-driven IDS is proposed for DDoS attack detection in the smart parking system. …”
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Autonomous Agricultural Robot Using YOLOv8 and ByteTrack for Weed Detection and Destruction by Ardin Bajraktari, Hayrettin Toylan

“…This system facilitates real-time weed detection and destruction, enhancing the efficiency of weed management in agricultural practices.…”
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Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

“…In addition to developing this model, we present a comparative analysis with several existing machine learning models, demonstrating the effectiveness of our approach in detecting water quality anomalies. The revised QI is continuously updated using real-time sensor data, aiding decision-making in treatment operations. …”
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Fine-grained detection and segmentation of civilian aircraft in satellite imagery using YOLOv8 by Ramesh Kumar Panneerselvam, Sarada Bandi, Sree Datta Siva Charan Doddapaneni

“… Detection and segmentation of civilian aircraft from satellite imagery has significant importance in applications for air traffic management, surveillance, and defense. …”
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Stone Detection on Agricultural Land Using Thermal Imagery from Unmanned Aerial Systems by Florian Thürkow, Mike Teucher, Detlef Thürkow, Milena Mohri

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AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder by Yunseung Lee, Pilsung Kang

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The Role of Sensor Technologies in Estrus Detection in Beef Cattle: A Review of Current Applications by Inga Merkelytė, Artūras Šiukščius, Rasa Nainienė

“…Modern beef cattle reproductive management faces increasing challenges due to the growing global demand for beef. …”
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IP SafeGuard–An AI-Driven Malicious IP Detection Framework by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Md Rakibul Hasan, Areej Obeidat, Nuruzzaman Faruqui

“…The rising frequency and sophistication of cyberattacks have made real-time malicious IP detection a critical challenge for modern Security Operations Center (SOC). …”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…Corrosion leakage risk assessment necessitates the comprehensive integration of risk assessment factors with various detection operations. Current detection tasks face challenges due to data complexities and significant data deficiencies. …”
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YOLO-WAS: A Lightweight Apple Target Detection Method Based on Improved YOLO11 by Xinwu Du, Xiaoxuan Zhang, Tingting Li, Xiangyu Chen, Xiufang Yu, Heng Wang

“…These results demonstrate that the model performs competitively in apple detection tasks and holds potential to meet real-time detection requirements in resource-constrained environments, thereby contributing to the advancement of automated orchard management.…”
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Harnessing generative AI for enhanced disaster management: a systematic review by Kumpol Saengtabtim, Natt Leelawat, Rujapa Aumnoysombat, Mahsa Adelifar, Natcha Saengwongwattana, Gritaya Suktavornprasit, Anawat Suppasri, Fumihiko Imamura, Jing Tang

“…The refined results also proposed the technologies’ benefits in assisting the decision support process, creating a business continuity plan, and detecting early warnings. However, ethics and transparency remain the main concerns in fully implementing AI and LLM in disaster management operations. …”
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Large-Scale Maize Condition Mapping to Support Agricultural Risk Management by Edina Birinyi, Dániel Kristóf, Roland Hollós, Zoltán Barcza, Anikó Kern

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