Rate-Adaptive LiDAR Point Cloud Streaming Over LEO Satellite Networks by Dominic Laniewski, Nils Aschenbruck

“…We develop a novel, real-time capable rate-adaptation algorithm leveraging Google Draco. It predicts optimal encoding parameters for each mini point cloud to maximize the point cloud quality under varying network conditions. …”
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A Study of Transmission Point Selection for Multi-Connectivity in Multi-Band Wireless Networks by Eunkyung Kim, Dongwan Kim, Changbeom Choi

“…The proposed point selection algorithm attains lower computational complexity with a 2-approximation of the optimal solution. …”
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Development of Mathematical and Computational Models for Predicting Agricultural Soil–Water Management Properties (ASWMPs) to Optimize Intelligent Irrigation Systems and Enhance Cr... by Brigitta Tóth, Oswaldo Guerrero-Bustamante, Michel Murillo, Jose Duque, Rodrigo Polo-Mendoza

“…In this regard, the present research develops predictive models for ASWMPs based on the grain size distribution and dry bulk density of soils, integrating both traditional mathematical approaches and advanced computational techniques. By examining 900 soil samples from the <i>NaneSoil</i> database, spanning diverse crop species (<i>Avena sativa</i> L., <i>Daucus carota</i> L., <i>Hordeum vulgare</i> L., <i>Medicago sativa</i> L., <i>Phaseolus vulgaris</i> L., <i>Sorghum vulgare</i> Pers., <i>Triticum aestivum</i> L., and <i>Zea mays</i> L.), several predictive models are proposed for three key ASWMPs: soil-saturated hydraulic conductivity, field capacity, and permanent wilting point. …”
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Application of Optimized Convolution Neural Network Model in Mural Segmentation by Zhiqiang Chen, Leelavathi Rajamanickam, Xiaodong Tian, Jianfang Cao

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Detection and Optimization of Traffic Networks Based on Voronoi Diagram by Rui Tao, Jian Liu, Yuqing Song, Rui Peng, Dali Zhang, Jiangang Qiao

“…We present a traffic peak detection method, which constructs the Voronoi diagram of the input traffic flow data and computes the prominence of candidate peak points using the diagram. …”
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Precision Reconstruction of Rational Conformal Field Theory from Exact Fixed-Point Tensor Network by Gong Cheng, Lin Chen, Zheng-Cheng Gu, Ling-Yan Hung

“…Numerically approximate fixed-point (FP) tensors are widely used to extract the conformal data of the underlying conformal field theory (CFT) describing critical phenomena. …”
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OPTIMIZATION OF TOPOLOGICAL STRUCTURES OF CENTRALIZED LOGISTICS NETWORKS IN THE PROCESS OF REENGINEERING by Vladimir Beskorovainyi, Antonii Sudik

“…In practice, this will allow you to choose a more efficient method for solving large-scale practical problems, based on the required accuracy, available computing and time resources. The method based on the coordinate optimization procedure has a significantly higher accuracy, but it is more complex from a computational point of view. …”
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A general framework for characterizing optimal communication in brain networks by Kayson Fakhar, Fatemeh Hadaeghi, Caio Seguin, Shrey Dixit, Arnaud Messé, Gorka Zamora-López, Bratislav Misic, Claus C Hilgetag

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Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates by Leo Buron, Andreas Erbslöh, Gregor Schiele

“…However, neural network training remains both computation and memory intensive. …”
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Design of MobileNetV3 network accelerator based on dynamic adaptive computing engine by Xiang Haobin, Yang Ruimin, Wu Wentao, Li Chunlei, Dong Yan

“…Secondly, a global adaptive point convolution method is proposed to optimize point convolution and combine spatial exploration to obtain the optimal parameter configuration to achieve maximum computational parallelism. …”
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OPTIMIZATIONS OF DEEP LEARNING OBJECTS DETECTION MODELS FOR INFERENCE ACCELERATION ON GENERAL-PURPOSE AND HARDWARE-ACCELERATED SINGLE-BOARD PLATFORMS by Dmytro Myroniuk, Bohdan Blahitko

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Enhancing Landmark Point Detection in <i>Eriocheir Sinensis</i> Carapace with Differentiable End-to-End Networks by Chong Wu, Shuxian Wang, Shengmao Zhang, Hanfeng Zheng, Wei Wang, Shenglong Yang

“…This research proposes using a neural network to detect and identify the landmark points of the carapace of the Chinese mitten crab, with the aim of improving efficiency in observation, measurement, and statistics in breeding and sales. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…To achieve this, the study employs techniques such as dynamic neural networks, robustness optimization, and resilience strategies. …”
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Design Strategies of Capacitor‐Based Synaptic Cell for High‐Efficiency Analog Neural Network Training by Byoungwoo Lee, Wonjae Ji, Hyejin Kim, Seungmin Han, Geonwoong Park, Pyeongkang Hur, Gilsu Jeon, Hyung‐Min Lee, Yoonyoung Chung, Junwoo Son, Yong‐Young Noh, Seyoung Kim

“…Analog in‐memory computing, leveraging resistive switching cross‐point devices known as resistive processing units (RPUs), offers substantial improvements in the performance and energy efficiency of deep neural network (DNN) training. …”
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Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

“…Conventionally, such optimization techniques—MPPT (Maximum Power Point Tracking) along with heuristic algorithms—suffer significantly from slow adaptability and track sub optimality under dynamic environments. …”
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Wireless Sensor Network Coverage Optimization: Comparison of Local Search-Based Heuristics by Krzysztof Trojanowski, Artur Mikitiuk

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Optimizing Handover Parameters by Q-Learning for Heterogeneous Radio-Optical Networks by Sihua Shao, Guanxiong Liu, Abdallah Khreishah, Moussa Ayyash, Hany Elgala, Thomas D. C. Little, Michael Rahaim

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The optimal location of tanks in water distribution networks using failure tolerance by Aaron Kalonji Kapata, Adesola Ilemobade

“…The aim of this study was therefore to develop a tool to compute failure tolerance when pipe failure occurs in a water distribution network, and as a consequence, to determine the optimal location of a tank(s). …”
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An optimized generative adversarial network for state estimator in electric power systems by Ying-Yi Hong, Yen-Cheng Wang, Weina Zhang

“…Notably, the structure parameters and hyperparameters of both networks are determined using particle swarm optimization, thereby avoiding heuristic selection. …”
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Comparative analysis of maximum power point tracking methods for power optimization in grid tied photovoltaic solar systems by Abubakar Elsafi, Akram A. Almohammedi, Mohammed Balfaqih, Zain Balfagih, Saeed Sabri

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