Validation of an AI-Assisted Terrain-Aided Navigation Algorithm Using Real-World Flight Test Instrumentation Data by Ümit Can Bekar, Bilgehan Tanyeri, Ibrahim Enes Uslu, Nuri Arda Gungor, Gokhan Inalhan

“…The proposed TAN integrates a high-performance terrain server, a digital elevation model, and an efficient line-of-sight algorithm to facilitate terrain-aided navigation. The system utilizes an advanced search algorithm in conjunction with two filter designs, including adaptive filters that dynamically optimize navigation precision and operational efficiency. …”
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Securing Urban Landscape: Cybersecurity Mechanisms for Resilient Smart Cities by Qiang Lyu, Sujuan Liu, Zhouyuan Shang

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Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…The optimized VToMe-BiGRU algorithm combines the Transformer model and the BiGRU network, which effectively captures the critical features in the electric drive system data, thus improving the fault prediction performance. …”
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RSM-YOLOv11: Lightweight Steel Surface Defect Segmentation Algorithm Research Based on YOLOv11 Improvement by Zenghai Shan, Hu Haoyan, Changjian Zhu, Shaowen Du, Hongtao Jing, Wang Haibin

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IRS-Assisted Wireless Sensor Networks With Hybrid TDMA-NOMA by Haitham Al-Obiedollah, Haythem Bany Salameh, Kanapathippillai Cumanan

“…To overcome these challenges, an iterative algorithm is proposed to solve the formulated optimization problem. …”
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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

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Efficient resource allocation for D2D-enabled social IoT networks: A tripartite and time-scale optimization approach by Saurabh Chandra, Rajeev Arya, Maheshwari Prasad Singh

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Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation by Ziang Liu, Tomoya Kawabe, Tatsushi Nishi, Shun Ito, Tomofumi Fujiwara

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A model of feature extraction for well logging data based on graph regularized non-negative matrix factorization with optimal estimation by Kehong Yuan, Youlin Shang, Haixiang Guo, Yongsheng Dong, Zhonghua Liu

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The Modified Sparrow Search Algorithm with Brown Motion and Levy Flight Strategy for the Class Integration Test Order Generation Problem by Chongyang Jiao, Qinglei Zhou, Wenning Zhang, Chunyan Zhang

“…The research shows that search-based algorithms can solve this problem effectively. As a novel search-based algorithm, the sparrow search algorithm (SSA) is good at finding the optimal to optimization problems, but it has drawbacks like weak population variety later on and the tendency to easily fall into the local optimum. …”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

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Hybrid RSA-ROA Scheduling Algorithm for Minimization of Power Loss and Improving the Renewable with Sustainable Energy Harvesting in Power System by Cuddapah Anitha, Virendra Swaroop Sangtani, Ajay Kumar Bansal, Mahaveerakannan R., R. Rajesh Sharma, Saravanan M. S.

“…It is also possible to reduce operating losses in the power system by scheduling ESS and controlled generation at the optimal times. Near global optimal solutions are sought using a hybrid algorithm combining Reptile Search Algorithm and Remora Optimization Algorithm (RSA-ROA). …”
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A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks by Minghao Chen, Shuai Wang, Jiazhong Zhang

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DDPG-Based UAV-RIS Framework for Optimizing Mobility in Future Wireless Communication Networks by Yasir Ullah, Idris Olalekan Adeoye, Mardeni Roslee, Mohd Azmi Ismail, Farman Ali, Shabeer Ahmad, Anwar Faizd Osman, Fatimah Zaharah Ali

“…Unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) are promising techniques that can enhance wireless connectivity in urban environments where tall buildings block line-of-sight (LoS) links. …”
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Robotic Arm Trajectory Planning in Dynamic Environments Based on Self-Optimizing Replay Mechanism by Pengyao Xu, Chong Di, Jiandong Lv, Peng Zhao, Chao Chen, Ruotong Wang

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Open energy services: forecasting and optimization as a service for energy management applications at scale by David Wölfle, Kevin Förderer, Tobias Riedel, Natascha Fernengel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck

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Optimal Trajectory Planning for Minimizing Base Disturbance of a Redundant Space Robot with IQPSO by Jianxia Zhang, Fuchao Yang, Guanghua Nie, Jianxin Zhang

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Event-Triggered Discrete-Time Distributed Consensus Optimization over Time-Varying Graphs by Qingguo Lü, Huaqing Li

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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

“…Notably, the proposed method also outperforms CNN-LSTM-SVM combinations that use conventional weighting strategies such as Simple Average (SA), Majority Voting (MV), and metaheuristic optimization algorithms. Numerical results illustrate that the proposed hybrid classifier can, on average, improve the classification rate and diagnostic capability by 7.09 %, 13.60 %, 5.52 %, and 6.84 % compared to its individual components, other single shallow or deep statistical or intelligent classifiers, other weighting-based parallel hybrid classifiers, and other recently developed classifiers for congenital heart disease diagnosis, respectively. …”
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Technological advances and the use of IoT in monitoring Diaphorina citri in citrus cultivation by Eduardo Goiano da Silva, Franciely da Silva Ponce, Silvia Graciele Hulse de Souza

“…The integration of IoT facilitates the early detection of D. citri and the continuous monitoring of their populations, improving the response to pest outbreaks and optimizing the use of insecticides. Systems based on AIoT (Artificial Intelligence of Things) and computer vision have demonstrated high accuracy in identifying and occurring pests, allowing for fast and efficient management. …”
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