A Novel Image Encryption Algorithm Based on Chaotic Sequences and Cross-Diffusion of Bits by Geng Shengtao, Wu Tao, Wang Shida, Zhang Xuncai, Niu Ying

“…To protect image information security, we propose an encryption algorithm based on chaotic sequences and bits' cross-diffusion. …”
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Adaptive encryption method of sensitive data in data center database based on big data cross-mapping fusion algorithm by Dingwen Zhang, Shuang Yang, Ming Chen, Lei Zheng, Jiashu Fan, Aidi Dong

Subjects: “…Cross mapping algorithm…”
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Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

“…The Geomorphon approach is proven to be a computationally efficient method that utilizes digital elevation models (DEMs) for terrain classification across multiple scales. In this study, we firstly evaluate the appliance of the Geomorphon algorithm in trough mapping in Prudhoe Bay (PB) in Alaska and the Wudaoliang region (WDL) on the central Qinghai–Tibet Plateau. …”
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Bypass node non-redundant adding algorithm for crossing-level data transmission in two-dimension reconfigurable cell array by Nai-jin CHEN, Zhi-yong FENG, Jian-hui JIANG

“…As for the problem of hardware task crossing-level data transmission，a preorder traversing backtracking adding_bypass_node (PTBA) algorithm is presented which maintains logic relation among original computing nodes and does not add redundancy nodes based on data flow graph with crossing-level-in-tree(CLIT) and crossing-level-out-tree (CLOT).The pipelined model of partitioning mapping and the quantitative evaluation indexes are presented for the dynamic reconfigurable system.The critical condition of PTBA mapping is proposed.Compared with preorder traversing backtracking no adding_bypass_node (PTBNA) mapping，and under the premise of critical condition，experimental results show PTBA mapping can improve the number of modules，the number of non-original input times and non-original output times，the total execution delay and powers of all partitioning based on the same system architecture and partitioning mapping algorithm.The proposed algorithm obtains the less average execution total cycles by 23.3%(RCA_5×5)，30.5%(RCA_8×8)，and the less average power consumption by 15.7%(RCA_5×5)，18.6%(RCA_8×8) than previous advanced split-push kernel mapping(SPKM).PTBA has rationality and effectiveness.…”
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Research on mapping method of logical carrying network across multiple domains by Min ZHANG, Chun-ming WU, Bin WANG, Ming JIANG

“…In order to solve the mapping problem of logical carrying network across multiple domains,a hierarchical linear program model was presented,which aims to minimize the cost of mapping.Based on this model,a mapping algorithm for logical carrying network across multiple domains was designed using primal decomposition and subgradient optimization technique.The correctness of this method was proved by theoretical analysis,and the validity of the proposed method was assessed by a collection of numerical simulation experiments through the performance of convergence and runtime,as well as mapping request acceptance ratio and revenue in a dynamical network environment.…”
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A Hybrid Adaptive Particle Swarm Optimization Algorithm for Enhanced Performance by Zhengfeng Jiang, Daoheng Zhu, Xiao-Yu Li, Ling-Bo Han

Subjects: “…particle swarm optimization algorithms…”
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A survey of sequence-to-graph mapping algorithms in the pangenome era by Yingbo Cui, Chenchen Peng, Zeyu Xia, Canqun Yang, Yifei Guo

“…Numerous sequence-to-graph mapping algorithms have been developed over the past few years. …”
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Divergent crop mapping accuracies across different field types in smallholder farming regions by Xin Huang, Anton Vrieling, Yue Dou, Xueying Li, Andrew Nelson

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Remote sensing for land cover mapping across Victoria, Australia – a machine learning application by Sabah Sabaghy, Mohammad Abuzar, Doug Crawford, Andy McAllister, Kathryn Sheffield

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Cross-domain service chain mapping mechanism based on Q-learning by Hongqi ZHANG, Rui HUANG, Yingjie YANG, Dexian CHANG, Liancheng ZHANG

“…On this basis, an effective mapping framework was built and the cross-domain mapping problem was modeled as an ILP with the purpose of minimizing mapping cost. …”
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Sample-Adjusted Threshold Calculation (SATC) for Optimizing Flood Mapping From a Trustworthy and Explainable Perspective by Zhijun Jiao, Biyan Chen, Zhimei Zhang, Lixin Wu

Subjects: “…Algorithm robustness…”
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Advances in Soil Moisture Mapping Techniques and Disaggregation Algorithms for Environmental and Agricultural Applications by M. Pablos, G. Portal, G. Portal, A. Camps, A. Camps, A. Camps, M. Vall-llossera, M. Vall-llossera, C. López-Martínez, C. López-Martínez

“…These algorithms have been validated across diverse environments, demonstrating RMSE values of 0.04–0.10 cm³/cm³. …”
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Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning by Min Zhang, Xinlei Xu, Junji Ou, Zengguang Zhang, Fangzheng Chen, Lijie Shi, Bin Wang, Meiqin Zhang, Liang He, Xueliang Zhang, Yong Chen, Kelin Hu, Puyu Feng

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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

“…The experimental results indicate that the enhanced model YOLOv10-LGDA achieves impressive performance metrics in citrus disease detection, with accuracy, recall, mAP@50, and mAP@50:95 rates of 98.7%, 95.9%, 97.7%, and 94%, respectively. …”
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An algorithm for variational inclusion problems including quasi-nonexpansive mappings with applications in osteoporosis prediction by Raweerote Suparatulatorn, Wongthawat Liawrungrueang, Thanasak Mouktonglang, Watcharaporn Cholamjiak

“…From the experimental results, our proposed algorithm consistently outperforms existing algorithms across multiple evaluation metrics. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

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Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

“…Extensive experiments were conducted to evaluate the performance of ILS across various metrics, including execution time, visited nodes, and path length, over a total of 6000 grid maps generated with obstacle densities of 10%, 20%, and 30%. …”
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Landslides in the Himalayas: The Role of Conditioning Factors and Their Resolution in Susceptibility Mapping by Lalit Pathak, Badri Baral, Kamana Joshi, Dipak Raj Basnet, Danilo Godone

“…Sixteen factors, encompassing topography, hydrology, geology, and anthropogenic activities, were analyzed alongside a landslide inventory of 159 occurrences compiled from satellite imagery, the literature, and field surveys. A genetic algorithm (GA) was employed to determine the optimal set of conditioning factors, while Maximum Entropy (Maxent) modeling produced landslide susceptibility maps (LSM) at spatial resolutions ranging between 12.5 and 200 m. …”
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Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…The review also discusses TC tracking algorithms, structural diagnostics, and the evolution of forecasting frameworks, along with emerging research trends revealed through scientometric mapping. …”
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CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space by Maria Laura Zoffoli, Vittorio Brando, Gianluca Volpe, Luis González Vilas, Bede Ffinian Rowe Davies, Robert Frouin, Jaime Pitarch, Simon Oiry, Jing Tan, Simone Colella, Christian Marchese

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