A New Meta-heuristic Algorithm based on Multi-criteria Decision Making to Solve Community Detection Problem by Vahid Baradaran, Amir Hossein Hosseinian, Reza Derakhshani

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Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach by Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong

“…This paper presents an unsupervised change detection approach for detecting the positive and negative changes based on a multi-objective evolutionary algorithm. …”
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A PERFORMANCE-BASED APPROACH TO AIRSPACE OPTIMIZATION USING WIND-OPTIMAL TRACKS NETWORK IN HO CHI MINH FIR by Ngoc Hoang Quan NGUYEN, Minh Hoang LE, Trinh Binh DINH, Phuc Ky NGUYEN, Thu Thao NGUYEN, Toan Thinh LE, Van Tien Son NGUYEN, Hoang Vu NGUYEN

“…In this research, we aim to address the issue of airspace congestion and how to enhance safety and efficiency by developing an algorithm capable of automatically detecting and resolving conflicts. This is achieved by adjusting the entry time and flight level (FL) of aircraft operating within the Wind-Optimal Track Network (WOTN) model that we have developed for the Ho Chi Minh Flight Information Region (HCM FIR). …”
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Optimizing Sputtered SnO₂:Dy Thin Films for NO₂ Gas Detection by Marwen Mezyen, Nabila Bitri, Ibtissem Riahi, Fatma Chaabouni, Eduard Llobet

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Intelligent Fault Detection and Self-Healing Mechanisms in Wireless Sensor Networks Using Machine Learning and Flying Fox Optimization by Almamoon Alauthman, Abeer Al-Hyari

“…This paper presents an intelligent framework based on Light Gradient Boosting Machine integration for fault detection and a Flying Fox Optimization Algorithm in dynamic self-healing. …”
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Mathematical Modeling of Optimal Drone Flight Trajectories for Enhanced Object Detection in Video Streams Using Kolmogorov–Arnold Networks by Aida Issembayeva, Oleksandr Kuznetsov, Anargul Shaushenova, Ardak Nurpeisova, Gabit Shuitenov, Maral Ongarbayeva

“…This research bridges flight operations and detection algorithms, offering practical guidelines that enhance the detection capability by optimizing image acquisition rather than modifying detection algorithms.…”
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Improving SAR Ship Detection Accuracy by Optimizing Polarization Modes: A Study of Generalized Compact Polarimetry (GCP) Performance by Guo Song, Yunkai Deng, Heng Zhang, Xiuqing Liu, Sheng Chang

“…The debate surrounding the optimal polarimetric modes—compact polarimetry (CP) versus dual polarization (DP)—for PolSAR ship detection persists. …”
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A New Approach to Electrical Fault Detection in Urban Structures Using Dynamic Programming and Optimized Support Vector Machines by Reynaldo Villarreal, Sindy Chamorro-Solano, Yolanda Vega-Sampayo, Carlos Alejandro Espejo, Steffen Cantillo, Luis Gaviria, Jheifer Paez, Carlos Ochoa, Silvia Moreno, Claudet Polo, Roberto Pestana-Nobles, Camilo Montoya

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OPTIMIZATIONS OF DEEP LEARNING OBJECTS DETECTION MODELS FOR INFERENCE ACCELERATION ON GENERAL-PURPOSE AND HARDWARE-ACCELERATED SINGLE-BOARD PLATFORMS by Dmytro Myroniuk, Bohdan Blahitko

“…The quantized int8 models are used as a baseline for optimization effectiveness estimation. The delegation approach includes software or hardware-optimized variants of neural operations. …”
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Optimization of Imaging Reconnaissance Systems Using Super-Resolution: Efficiency Analysis in Interference Conditions by Marta Bistroń, Zbigniew Piotrowski

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Toward resource-efficient UAV systems: Deep learning model compression for onboard-ready weed detection in UAV imagery by Alwaseela Abdalla, Masara M.A. Mohammed, Oluwatola Adedeji, Peter Dotray, Wenxuan Guo

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Performance Analysis of RIS-Assisted RF-Based Detection of Unauthorized UAVs by Yousef Awad, Suhail Al-Dharrab, Wessam Mesbah

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Developing and Implementing an Artificial Intelligence (AI)-Driven System For Electricity Theft Detection by Nwamaka Georgenia Ezeji, Kingsley Ifeanyi Chibueze, Nnenna Harmony Nwobodo-Nzeribe

“…The implementation of this AI-driven solution offers numerous benefits, including enhanced detection accuracy, reduced operational costs, and improved overall efficiency of power distribution networks. …”
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Intelligent digital twin utilization for real-time forecasting and optimization of the ship's power system by Mykola Bulgakov, Oleksiy Melnyk

“… The paper presents the concept and mathematical model of an intelligent digital twin of a ship’s power system, designed for real-time operation. The proposed solution integrates dynamic energy balance modeling, telemetry signal processing using a Kalman filter, load forecasting with long short-term memory (LSTM) neural networks, anomaly detection mechanisms, and optimization modules. …”
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Optimizing switching sequences in AC-AC converters for enhanced safety and performance in conveyor systems by Velmurugan Dhandapani, Gopinath Balasubramanian

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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…Subsequently, only fine-tuning the speeds of non-critical plans is required to address remaining local conflicts, thereby minimizing interference with the overall operational order. Simulation results demonstrate that this framework not only significantly improves the comprehensiveness of conflict detection but also effectively reduces the total number of conflicts. …”
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Accurate detection of critical LLFs and LGFs in PV arrays based on deep reinforcement learning using proximal policy optimization (PPO) by Sherko Salehpour, Aref Eskandari, Amir Nedaei, Mohammad Gholami, Mohammadreza Aghaei

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A Bootstrapping Convolutional Neural Network Technique for Optimizing Automated Detection of Equatorial Plasma Bubbles by Optical All‐Sky Imagers by Daniel Okoh, Claudio Cesaroni, Babatunde Rabiu, Kazuo Shiokawa, Yuichi Otsuka, Samuel Ogunjo, Aderonke Akerele, John Bosco Habarulema, Bruno Nava, Yenca Migoya‐Orué, Punyawi Jamjareegulgarn, Adeniran Seun, Ogechi Adama, George Ochieng, James Ameh, Adero Awuor, Paul Baki

“…This study presents a novel bootstrapping convolutional neural network (CNN) approach to optimize automated EPB detection on ASI images for operational space weather monitoring applications, and overcoming challenges related to image variability and imbalanced data sets. …”
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Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection by William Villegas-Ch, Jaime Govea, Rommel Gutierrez, Aracely Mera-Navarrete

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Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8 by Jiang Liu, Jingxin Yu, Changfu Zhang, Huankang Cui, Jinpeng Zhao, Wengang Zheng, Fan Xu, Xiaoming Wei

“…Practical deployment on agricultural robots in operational greenhouses demonstrated 93.6% detection accuracy, validating the model’s effectiveness for precision agriculture applications. …”
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