Adaptive AR Navigation: Real-Time Mapping for Indoor Environment Using Node Placement and Marker Localization by Bagas Samuel Christiananta Putra, I. Kadek Dendy Senapartha, Jyun-Cheng Wang, Matahari Bhakti Nendya, Dan Daniel Pandapotan, Felix Nathanael Tjahjono, Halim Budi Santoso

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Image Segmentation Method With Improved GA Optimization of Two-Dimensional Maximum Entropy by Jin Wang, Yanli Tan, Xiaoning Bo, Guoqin Li

“…To address this issue, research improves the genetic algorithm using adaptive hybridization and adaptive mutation probability, and combines it with the Bat algorithm to optimize the local optimization problem of the image. …”
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AGEN: Adaptive Error Control-Driven Cross-View Geo-Localization Under Extreme Weather Conditions by Mengmeng Xu, Hongxiang Lv, Hai Zhu, Enlai Dong, Fei Wu

“…Due to its GPS-free advantage, cross-view geo-localization is gaining increasing research interest, especially in drone-based localization and navigation applications. …”
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A Clustering-based Simulated Annealing Algorithm with Taguchi Method for the Discrete Ordered Median Problem by Mustafa Serdar Toksoy

“…For that purpose, we proposed a Simulated Annealing (SA) metaheuristic with K-means Clustering Algorithm in initialization for the DOMP. Novel approaches for initial solution and K-exchange algorithm-based neighborhoods for local search were analysed. …”
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Autonomous walking path planning of underground handling robot based on improved A* and DWA algorithm by Kekun ZHANG, Jiusheng BAO, Junwei AI, Xiaoming YUAN, Yan YIN, Maosen WANG, Shirong GE

“…Secondly, the path planning system scheme is designed, and the performance of the conventional path planning algorithms is compared and analyzed. The A* algorithm and the DWA algorithm are selected as the basic algorithms for global path planning and local path planning of the underground handling robot. …”
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An electricity price optimization model considering time-of-use and active distribution network efficiency improvements by Yan Li, Yaheng Su, Qixin Zhao, Bala Wuda, Kaibo Qu, Lei Tang

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Research on Wireless Positioning Technology Based on Digital FM Broadcasting by Yi Zhang, Zhanxin Yang, Lunhui Deng, Shanshan Li

“…In this paper, a new method based on multisource data fusion is proposed, which can meet the need of localization in various environments and overcome the deficiency of single localization method.…”
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An adaptive weighting algorithm for accurate radio tomographic image in the environment with multipath and WiFi interference by Manyi Wang, Zhonglei Wang, Xiongzhu Bu, Enjie Ding

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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

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GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction by Syed Abu Ammar Muhammad Zarif, Layla Kader Suma, Md. Sadat Rahman, Md. Motaharul Islam, Phuoc Hung Pham, Phong Dung Thi Nguyen, Nguyen Thanh Binh

“…However, early predictions would seem futile without efficient scheduling, which is why the article further proposes Global and Local Optimized Preemptive Scheduling (GLOPS), an enhanced metaheuristic scheduling algorithm employing Particle Swarm Optimization and Simulated Annealing. …”
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Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification by Ying Shi, Yuan Wan, Xinjian Wang, Huanhuan Li

“…This research provides valuable insights for various stakeholders in selecting the most suitable method for specific circumstances.…”
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Indirect tuning of a complementary orientation filter using velocity data and a genetic algorithm by Dariusz Maton, John T. Economou, David Galvão Wall, Irfan Khan, Robert Cooper, David Ward, Simon Trythall

“…Secondary novel elements are the bespoke genetic algorithm and the time agnostic velocity error metric. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Finally, the coupled detection head of YOLOv7-tiny is replaced with a more efficient decoupled head, which separates feature channels for localization and classification tasks and enhances both classification and localization accuracy. …”
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Treatment Algorithms for Continuous Low-Level Heat Wrap Therapy for the Management of Musculoskeletal Pain: An Italian Position Paper by Ventriglia G, Franco M, Magni A, Gervasoni F

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Enhancing DBSCAN Accuracy and Computational Efficiency Using Closest Access Point Pre-Clustering for Fingerprint-Based Localization by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak

“…Overall, using Manhattan distance as a fingerprint similarity metric results in the best clustering performance of the CAP-DBSCAN algorithm. These findings underscore the potential of the CAP-DBSCAN algorithm for practical applications in resource-constrained fingerprint-based localization systems.   …”
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A novel indoor localization method using passive phase difference fingerprinting based on channel state information by Xiaochao Dang, Jiaju Ren, Zhanjun Hao, Yili Hei, Xuhao Tang, Yan Yan

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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…To address these challenges, this paper proposes an enhanced YOLOv8 model integrated with a depth camera for string tomato fruit stalk picking point identification and localization research. Initially, the Fasternet bottleneck in YOLOv8 is replaced with the c2f bottleneck, and the MLCA attention mechanism is added after the backbone network to construct the FastMLCA-YOLOv8 model for fruit stalk recognition. …”
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Multiple Sclerosis Disease-Modifying Treatment Algorithms: 2025 Positioning of the Portuguese Multiple Sclerosis Study Group by Carlos Capela, Ernestina Santos, Filipe Palavra, Joana Guimarães, João Cerqueira, José Vale, Lívia Sousa, Sónia Batista, Maria José Sá

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Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network by Rahimullah Rabih, Hamed Vahdat-Nejad, Wathiq Mansoor, Javad Hassannataj Joloudari

“…This approach involves combining the Local outlier factor (LOF) algorithm for outlier detection and the Convolutional neural network (CNN) for classification. …”
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BioFire FilmArray Meningitis/Encephalitis Panel Utilised for the Unsolved Cases of Meningitis/Encephalitis: A Cross-sectional Study by Bashir Ahmad Fomda, Sanam Rasool Wani, Irfan Ul Haq, Anjum Ara, Gulnaz Bashir, Shugufta Roohi, Sheikh Imtiyaz, Naseer Ahmad Bhat

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