A Low-Complexity Path-Planning Algorithm for Multiple USVs in Task Planning Based on the Visibility Graph Method by Kai Xue, Zhiqin Huang, Ping Wang, Zeyu Xu, Decheng Kong

“…When the number of USVs is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>n</mi></semantics></math></inline-formula>, the computational complexity is usually as high as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mfenced><mrow><msup><mi>n</mi><mn>2</mn></msup></mrow></mfenced></mrow></semantics></math></inline-formula>, as paths need to be planned from different start points to different target points. …”
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Current Situation of Agricultural Water Resource Utilization and Technology Path for the Efficient Regulation Rainwater Resources in Southwestern China by Yuhai Bao, Xiubin He, Feihu Yin, Qiao Wu, Daozhi Gong, Ningbo Cui

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Enhanced path planning for robot navigation in Gaussian noise environments with YOLO v10 and depth deterministic strategies by Feng Xiao, Shiwei Chu, Xing Guo, Youhai Zhang, Rubing Huang

“…Abstract Facing Gaussian noise from severe rain and haze, we employ multi-scale YOLO v10 for obstacle detection amidst high noise and DDPG (Deep Deterministic Policy Gradient) for enhanced path planning. YOLO v10 is used to annotate obstacles, and different input scales are set to deal with Gaussian noise. …”
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Path Loss Characterization Using Machine Learning Models for GS-to-UAV-Enabled Communication in Smart Farming Scenarios by Sarun Duangsuwan, Phakamon Juengkittikul, Myo Myint Maw

“…The proposed ML models using SVR and ANN can optimally predict the path loss characterization in SF scenarios, where the accuracy was 95% for the SVR and 97% for the ANN.…”
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GTrXL-SAC-Based Path Planning and Obstacle-Aware Control Decision-Making for UAV Autonomous Control by Jingyi Huang, Yujie Cui, Guipeng Xi, Shuangxia Bai, Bo Li, Geng Wang, Evgeny Neretin

“…Research on UAV (unmanned aerial vehicle) path planning and obstacle avoidance control based on DRL (deep reinforcement learning) still faces limitations, as previous studies primarily utilized current perceptual inputs while neglecting the continuity of flight processes, resulting in low early-stage learning efficiency. …”
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An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network by Yue Tong, Lyu Li, Siyuan Li, Lei Wang, Jun Ma, Ting Lyu, Kunlun He

“…Utilizing a content-aware approach, the proposed method assigns transmission priorities to different types of data and selects optimal paths via an intelligent routing algorithm based on real-time network conditions. …”
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Magnetic Nanomaterials in Chinese Medicine Chemical Composition Analysis and Drug Metabolism and Its Industry Prospect and Development Path Research by Tengfei Ma, Peng Liu

“…Compared with Western medicine, traditional Chinese medicine is different from Western medicine in that it is originated from nature and has thousands of years of clinical efficacy. …”
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DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs by Bahareh Jafari, Mazen Hasna, Hossein Pishro-Nik, Nizar Zorba, Tamer Khattab, Hamid Saeedi

“…By deploying a deep reinforcement learning algorithm, we find optimal UAV paths based on the two families of trajectories: spiral and oval curves, to tackle different design considerations and constraints, in terms of QoS, energy consumption and coverage hole avoidance. …”
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Digital Low-Altitude Airspace Unmanned Aerial Vehicle Path Planning and Operational Capacity Assessment in Urban Risk Environments by Ouge Feng, Honghai Zhang, Weibin Tang, Fei Wang, Dikun Feng, Gang Zhong

“…By integrating multi-source heterogeneous data, including building structures, population density, and sheltering factor, a grid-based discrete risk quantification model is established to evaluate comprehensive mid-air collision risk, ground impact risk, third-party risk, and UAV turning risk. A path planning method considering the optimization of the turning points of parallelograms was proposed, and the Parallel-A* algorithm was adopted for its solution. …”
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Dynamic path planning of UAV with least inflection point based on adaptive neighborhood A* algorithm and multi-strategy fusion by Longyan Xu, Mao Xi, Ren Gao, Ziheng Ye, Zaihan He

“…Abstract Planning a safe and efficient global path in a complex three-dimensional environment is a complex and challenging optimization task. …”
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Research on Optimization of Improved Gray Wolf Optimization-Extreme Learning Machine Algorithm in Vehicle Route Planning by Shijin Li, Fucai Wang

“…In this paper, the antilearning model is used to solve the problem that the gray wolf algorithm falls into local optimization. The positions of different wolves are updated. …”
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Optimal fuzzy-PID controller design for object tracking by Yaregal Limenih Melese, Girma Kassa Alitasb, Mequanent Degu Belete

“…Abstract Object tracking is a technique for finding moving objects of interest and estimating their trajectory or path with regard to time in a series of images. It involves object representation, detection, and tracking. …”
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Experimental and theoretical investigation of the influence of tool paths and burnishing parameters on the quality of the burnished surface by magnetic assisted ball burnishing by Zsolt Kovács, Gábor Kónya, Balázs Markó, György Póka

“…Based on the experiments, it can be stated that magnetic assisted ball burnishing is an efficient method to improve the surface quality. However different settings are required to optimize the surface roughness, tribological characteristics and oil retention capacity, respectively. …”
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Impact of robotic assistance on the learning curve in endovascular interventions: exploring the role of operator experience with the CorPath GRX system by Tatjana Dell, Marilia B. Voigt, Alexander Isaak, Alexander Boehner, Claus Pieper, Narine Mesropyan, Patrick Kupczyk, Julian Luetkens, Daniel Kuetting

“…Abstract Purpose This study investigates how endovascular interventionalists adapt to using a robotic platform, specifically the CorPath GRX Robotic System, and examines the influence of prior manual catheterization experience. …”
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Research on Development Status and Implementation Path of Wind-Solar-Water-Thermal-Energy Storage Multi-Energy Complementary Demonstration Project by KANG Junjie, ZHAO Chunyang, ZHOU Guopeng, ZHAO Liang

“…This paper summarized the connotation construction principles of multi-energy complementarity, detailed the development status and existing problems of the first batch of multi-energy complementarity demonstration projects, and analyzed in detail the development paths of different modes of multi-energy complementarity projects. …”
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Reliability of the digital functionally generated path technique for assessing occlusal interferences and adjusting CAD-CAM zirconia crowns: an in vivo study by Sherine Anwar Saad, Yousreya Atteya Shalaby, Amir Shoukry Azer

“…Abstract Background Designing the occlusal surface of a prosthesis to ensure optimal eccentric occlusion is challenging without precisely replicating the patient’s mandibular movements. …”
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UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies by Xiaojie Tang, Chengfen Jia, Zhengyang He

“…To address the challenges of low optimization efficiency and premature convergence in existing algorithms for unmanned aerial vehicle (UAV) 3D path planning under complex operational constraints, this study proposes an enhanced honey badger algorithm (LRMHBA). …”
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Rapid Prediction of High-Resolution 3D Ship Airwake in the Glide Path Based on CFD, BP Neural Network, and DWL by Qingsong Liu, Gan Ren, Dingfu Zhou, Bo Liu, Zida Li

“…Then, using the high spatial resolution ship airwake along the glide path obtained from steady RANS computations under different inflow conditions as a sample dataset, the BP neural network prediction models were trained and optimized. …”
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Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system by Kai Janning, Abdalsalam Housin, Christopher Schulte, Frederik Erkens, Luca Frenken, Laura Herbst, Bastian Nießing, Robert H. Schmitt, Robert H. Schmitt

“…IntroductionThis work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict-Based Model Predictive Control (CB-MPC).MethodsThe proposed method leverages the conflict-avoidance strengths of CBS to generate collision-free paths, which are then refined into dynamic reference trajectories using a minimum jerk trajectory optimizer and then used inside a MPC to follow the trajectories and to avoid collisions. …”
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OPTIMAL TRAFFIC MANAGEMENT FOR AIRCRAFT APPROACHING THE AERODROME LANDING AREA by I. B. Ivenin, A. S. Kurilenok

“…Each approach path has a different length. The approach trajectories do not overlap. …”
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