Autonomous Driving Strategy for a Specialized Four-Wheel Differential-Drive Agricultural Rover by Salvatore Martelli, Francesco Mocera, Aurelio Somà

“…The aim of this study was the development of path-planning and path-following algorithms for an agricultural four-whee differential-drive vehicle operating in vineyard/orchard environments. …”
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Nearest-Neighbor Dual-Path Contrastive Learning for Lumbar Disc Herniation MRI Image Classification by Dan Pan, Yu-Xiang Pan, Hui Wang, Qi-Jing Liu, Chang-Mao Qiu

“…Timely and precise diagnosis is essential for efficient therapy and enhancing patient outcomes. This paper introduces an innovative LDH classification framework utilizing nearest-neighbor dual-path contrastive learning, integrating global and local feature learning to improve lumbar MRI image classification efficacy. …”
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization by Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG

“…ResultsSimulation results demonstrate that using this algorithm, ships can achieve efficient path planning and trajectory tracking, with path search time less than 2×10−5 s, path optimization time less than 0.5 seconds, and trajectory tracking absolute error less than 0.75 m. …”
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Optimization of Coverage Path Planning for Agricultural Drones in Weed-Infested Fields Using Semantic Segmentation by Fabian Andres Lara-Molina

“…The results demonstrate the effectiveness of the proposed approach for optimizing coverage paths in weed-infested sugarcane fields. By integrating semantic segmentation with clustering and path optimization techniques, it was possible to accurately localize weed patches and compute an efficient trajectory for UAV navigation. …”
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Dynamic ReLab: A Binary Path-Based Labeling Scheme for Dynamic XML Data by Yanche Ari Kustiawan, Khairil Imran Ghauth

“…By integrating binary path encoding with subtree-based labeling, Dynamic ReLab enables efficient label generation and maintenance, ensuring the quick determination of structural relationships, such as ancestor-descendant and parent-child, without extensive re-labeling. …”
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A Hybrid Graph-Based Risk Assessment and Attack Path Detection Model for IoT Systems by Ferhat Arat, Sedat Akleylek, Zaliha Yuce Tok

“…Beyond establishing a mathematical framework, we refine the IOTA approach, typically used for attack path detection and graph generation, into a hybrid risk-based model to enhance search-domain efficiency. …”
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DFDP: A Distributed Algorithm for Finding Disjoint Paths in Wireless Sensor Networks with Correctness Guarantee by Kejia Zhang, Guisheng Yin, Qilong Han, Junyu Lin

“…This paper proposes an efficient distributed algorithm named distributedly finding disjoint paths (DFDP) to find k disjoint paths connecting two given nodes s and t . …”
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Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy by Dalessandro Soares Vianna, Marcilene de Fátima Dianin Vianna

“…We propose hybrid heuristic methods - based on GRASP, path-relinking and genetic algorithm methodologies - to build a phylogeny while minimizing parsimony. …”
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Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy by Dalessandro Soares Vianna, Marcilene de Fátima Dianin Vianna

“…We propose hybrid heuristic methods - based on GRASP, path-relinking and genetic algorithm methodologies - to build a phylogeny while minimizing parsimony. …”
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A Comprehensive Review of Deep Learning Techniques in Mobile Robot Path Planning: Categorization and Analysis by Reza Hoseinnezhad

“…Deep Reinforcement Learning (DRL) has emerged as a transformative approach in mobile robot path planning, addressing challenges associated with dynamic and uncertain environments. …”
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Collision Avoidance Path Planning for Automated Vehicles Using Prediction Information and Artificial Potential Field by Sumin Ahn, Taeyoung Oh, Jinwoo Yoo

“…To enhance safety, the predicted paths of surrounding vehicles anticipate risks and incorporate them into avoidance strategies, enabling more efficient and stable driving. …”
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Determination of Reinforcement Learning Reward Parameters to Solve Path Planning of Unknown Environments by Design of Experiments by issa Alali Alfares, Ahmadreza Khoogar

“…The Reinforcement Learning Approach (RL) is used to solve the path-planning problem of an autonomous mobile robot in unknown environments. …”
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Network modelling and computation of quickest path for service-level agreements using bi-objective optimization by Ashutosh Sharma, Rajiv Kumar, Manar Wasif Abu Talib, Saurabh Srivastava, Razi Iqbal

“…An algorithm is proposed for getting the number of efficient solutions for the quickest path problem using label-correcting algorithm. …”
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Action-Curiosity-Based Deep Reinforcement Learning Algorithm for Path Planning in a Nondeterministic Environment by Junxiao Xue, Jinpu Chen, Shiwen Zhang

“…In the field of path planning, the efficiency and effectiveness of deep reinforcement learning (DRL) methods are often constrained by the algorithms’ exploration capabilities, particularly in dynamic and nondeterministic environments. …”
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An Optimization Method for Iteration Path Search of Large-Scale Power Grid Unit Commitment State by CUI Yiyang, PAN Dounan, LI Canbing, LIU Jianzhe

“…To address the computational challenge posed by the “curse of dimensionality” inherent in traditional branch and bound algorithms for large-scale power grid unit commitment problems, an optimization method for iteration path search of unit commitment state is proposed. …”
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An Intelligent Path Planning System for Urban Airspace Monitoring: From Infrastructure Assessment to Strategic Optimization by Qianyu Liu, Wei Dai, Zichun Yan, Claudio J. Tessone

“…Extensive simulations demonstrate that the proposed approach significantly improves path success rates, reduces traversal through poorly monitored regions, and maintains high navigation efficiency. …”
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Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…To enhance the path tracking performance of unmanned agricultural vehicles in complex working scenarios with multiple obstacles, this paper proposes an anti-disturbance predictive control scheme based on safe distance. …”
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Research on Risk Avoidance Path Planning for Unmanned Vehicle Based on Genetic Algorithm and Bezier Curve by Gaoyang Xie, Liqing Fang, Xujun Su, Deqing Guo, Ziyuan Qi, Yanan Li, Jinli Che

“…Firstly, in order to make the curvature of the path continuous, the design uses two symmetric Bezier curves as the path curves. …”
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Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…To enhance the path tracking performance of unmanned agricultural vehicles in complex working scenarios with multiple obstacles, this paper proposes an anti-disturbance predictive control scheme based on safe distance. …”
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Enhanced path planning algorithm via hybrid WOA-PSO for differential wheeled mobile robots by Huda Talib Najm, Nur Syazreen Ahmad, Ahmed Sabah Al-Araji

“…This study introduces an enhanced algorithm for global path planning of Differential Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO). …”
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