Comprehensive Assessment of Genetic Variability, Association Analysis, and Elucidation of Direct and Indirect Effects of Yield and Yield Contributing Traits From Diverse Exogenous... by Admasu Mitiku, Gada Gudina, Abrar Yasin B, Misbahu Abdu

“…Thus, identifying traits with important influence on yield and quality, ensuring efficient selection in breeding programmes to improve productivity and adaptability are some of major factors of soybean that can be well addressed by studying variability, heritability, correlation, and path coefficient analysis. …”
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A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics by Junfu Wen, Fei Wang, Yebo Su

“…The main contributions are threefold: (1) a novel ENSGA-II design for efficient and well-distributed task allocation; (2) an improved PSO-based path planner with chaotic initialization and adaptive parameters; and (3) comprehensive validation demonstrating substantial gains over baseline methods. …”
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Optimization Method for Network Awareness in Different Domains of LEO Communication Constellation by DI Hang, DONG Tao, LIU Zhihui, WEI Shuotong, ZHANG Qiwei, ZHANG Dingyun

“…By dynamically solving the optimal active awareness path within the domain, the awareness range is expanded to support the improvement of network awareness capability. …”
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Triangular Energy-Saving Cache-Based Routing Protocol by Energy Sieving by Chiu-Ching Tuan, Yi-Chao Wu

“…TESRD selects an energy-efficient path to transmit data packets. Hence, TESCES could save more energy for transmitting packets and prolong routing lifetime. …”
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A Multipopulation Firefly Algorithm for Correlated Data Routing in Underwater Wireless Sensor Networks by Ming Xu, Guangzhong Liu

“…Low data delivery efficiency and high energy consumption are the inherent problems in Underwater Wireless Sensor Networks (UWSNs) characterized by the acoustic channels. …”
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Comparison between MDDV and VADD routing protocols in VANET (Case Study) by Ahmed Ghassan Hameed, Mahmoud Shuker Mahmoud

“… Routing is the process of delivering a packet from a source to a destination in the network using a routing algorithm that tries to create an efficient path. The path should be created with minimum overhead and bandwidth consumption. …”
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Mechanism and Experimental Studies of HFC-134a Oxidative Decomposition Mechanism by Xu Yunting, Zhang Kai, Dai Xiaoye, Shi Lin

“…Compared to the pyrolysis path, the oxidative decomposition path has a lower reaction energy barrier, which is conducive to the rapid occurrence of the reaction. …”
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Simulation and experimental verification of the precision finishing method for optical free-form surface segmentation. by Chenhua Jiang, Enzhong Zhang, Wei Zhang, Jiaqi Hu, Jiechen Guo, Xiaodong Li

“…To address the issues of low processing quality and overall efficiency in the machining of aluminum alloy free-form surfaces, an efficient numerical control machining method based on surface segmentation has been proposed. …”
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Structural Characterization of Lignin and Its Degradation Products with Spectroscopic Methods by Yao Lu, Yong-Chao Lu, Hong-Qin Hu, Feng-Jin Xie, Xian-Yong Wei, Xing Fan

“…Thus, the elucidation of structural features of lignin is important for the utilization of lignin in high efficient ways. Up to date, degradation of lignin with destructive methods is the main path for the analysis of molecular structure of lignin. …”
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Multi-layer robotic controller for enhancing the safety of mobile robot navigation in human-centered indoor environments by Karameldeen Omer, Karameldeen Omer, Andrea Monteriù

“…It enables the robot to navigate according to precise user requirements, utilizing the semantic context for path planning and behavior control. This layer obviates the need for a real-time sensor mapping process, making the system more efficient and adaptable to user needs. …”
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Influence of scanning patterns on residual stresses and mechanical properties in LPBF-manufactured cellular structures by Ahmed Abdelgawad, Imad Barsoum, Rashid K. Abu Al-Rub

“…The layer-by-layer approach reduces computational cost by 80% while maintaining accuracy, making it more efficient than the path-dependent method. The path-dependent approach is further used to investigate the influence of scanning patterns on residual stress formation. …”
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Enhancing autonomous exploration for robotics via real time map optimization and improved frontier costs by Chunyang Liu, Dingfa Zhang, Weitao Liu, Xin Sui, Yan Huang, Xiqiang Ma, Xiaokang Yang, Xiao Wang

“…We employ a real-time grid map optimization technique using bilateral filtering and expansion to eliminate inefficient frontiers, improve mapping quality, and enhance the overall efficiency of autonomous exploration. Additionally, we construct a novel frontier cost function that incorporates factors such as path length, sensor measurement range, and information gain. …”
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Time deterministic routing algorithm and protocol based on time-varying graph over the space-ground integrated network by Hongyan LI, Tao ZHANG, Jingqian ZHANG, Keyi SHI, Pengcheng ZENG

“…In terms of the difficulties to construct the end-to-end path and improve the utilization of network resources,caused by the time-varying multi-dimensional resources and diverse services over the space-ground integrated networks,the time-varying graph-based time deterministic routing algorithm and protocol for the space-ground integrated network was proposed.Firstly,a time-varying continuous graph model was constructed to describe the spatial and temporal attributes of multi-dimensional resources,such as the topology,link connectivity opportunities,node caching and so on.Then,a service-oriented time deterministic routing algorithm was proposed.According to the calculation rules of link cumulative traffic,and the constraints of node flow conservation and cache,the time-varying path with the shortest transmission delay was constructed.After that,a delay-guaranteed time deterministic routing protocol was designed by combining the proposed routing algorithm with both the segment routing technology and the time sensitive network technology,which supported the dynamic topology discovery,the efficient calculation of deterministic routing and the timing forwarding of data packets on the time-varying network.The simulation results show that,compared with the routing algorithm based on snapshot graph and contact graph,the proposed routing algorithm has higher link resource utilization rate and the packet successful delivery rate by jointly using link and node storage resources by association,and ensures the end-to-end transmission delay of services.…”
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A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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Joint Optimization Method for Preventive Maintenance and Train Scheduling of Subway Vehicles Based on a Spatiotemporal Network Graph by Chuanzhen Liu, Zhongwei Xu, Meng Mei, Wenqing Li

“…The vehicle’s operational workflow is represented as a path within this network. Next, leveraging the generated spatiotemporal network path set, a joint optimization model for preventive maintenance and scheduling is formulated, integrating optimization objectives and constraints to achieve coordinated optimization. …”
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Deep reinforcement learning-based routing framework for bidirectional communication in UAV-UGV networks by Prabhakar Saxena, Gayatri M. Phade

“…The results shows that the DRL-based routing protocol enables communication between UAVs and UGVs through the shortest and most efficient path. This research contributes to the advancement of AI enabled communication architecture for co-ordinated UAV-UGV networks, for robust and efficient mission-critical operations.…”
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Research and application of traffic engineering algorithm based on deep learning by Daoyun HU, Jin QI, Qianchun LU, Feng LI, Hongqiang FANG

“…With the development and application of 5G network, the amount of traffic in network increased rapidly, which caused the lack of bandwidth resource.In order to improve the utilization of network resource and satisfy the critical user requirement for QoS (quality of service), a novel traffic engineering algorithm based on deep learning in SDN was proposed.At last, simulation results show that the proposed algorithm not only can calculate an efficient path for service in real time, but also can improve the QoS and the utilization of network resource, as well as reduce network congestion.…”
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Secure Ant-Based Routing Protocol for Wireless Sensor Network by Nabil Ali Alrajeh, Mohamad Souheil Alabed, Mohamed Shaaban Elwahiby

“…Optimal path selection in wireless sensor networks (WSNs) is one of the challenging tasks. …”
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Unidirectional-link detection algorithms in wireless sensor networks by SANG Jun-jun, SHI Sheng-fei, LI Jiang-zhong, XIONG Shu-guang

“…Simulation experiments show that these ap- proaches are both efficient and scalable.…”
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Research and Application of Intelligent Robotic Arms in Navigation and Operation Technology for Industrial Production by Jin Yicheng

“…It combines some key problems such as dynamic path planning, and proposes an optimization scheme based on deep learning, Kalman filtering and multi-sensor fusion. …”
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