Coordinated Volt/VAR Control in Distribution Networks Considering Demand Response via Safe Deep Reinforcement Learning by Dong Hua, Fei Peng, Suisheng Liu, Qinglin Lin, Jiahui Fan, Qian Li

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COMPARISON OF RANDOM FOREST AND NAÏVE BAYES METHODS FOR CLASSIFYING AND FORECASTING SOIL TEXTURE IN THE AREA AROUND DAS KALIKONTO, EAST JAVA by Henny Pramoedyo, Danang Ariyanto, Novi Nur Aini

“…The methods used to classification and predict soil texture with machine learning algorithms are Random Forest (RF) and Naïve Bayes (NB). …”
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Consumer-Centered Collaborative Governance of Regional Business Environment by Tingting Xiang, Hongzhi Lin

“…The experimental results confirm the effectiveness and practicality of the proposed algorithm. The findings reveal that the bi-level programming model, integrating simulated annealing and projection algorithms, provides support for governments in accurately determining investment allocation strategies, enabling the simultaneous maximization of consumer welfare and optimization of the business environment. …”
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Remarks on the Relationship Between Fractal Dimensions and Convergence Speed by Jiaqi Qiu, Yongshun Liang

“…These findings have immediate and far-reaching implications for various applications that demand precise control over convergence properties, such as numerical algorithm design and signal processing. Notably, the identification of dimension-based convergence criteria provides practical and effective tools for the analysis of sequence behavior in both pure mathematical research and applied fields.…”
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The Closed-Loop Supply Chain Network Equilibrium with Products Lifetime and Carbon Emission Constraints in Multiperiod Planning Horizon by Guitao Zhang, Hao Sun, Jinsong Hu, Gengxin Dai

“…The model is solved by modified project contraction algorithm with fixed step. Optimal equilibrium results are computed and analyzed through numerical examples. …”
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Optimization of IoT-Based Motion Intelligence Monitoring System by Jian Qiao, Zhendong Zhang, Enqing Chen

“…The framework contains components such as active acquisition nodes, wireless access points, data processing servers, and terminals. In terms of algorithm optimization, research related to active pattern recognition and periodic calculation methods is conducted. …”
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The development of signing and verification methods for high speed digital signatures on electronic official documents by using RSA cryptography by Kritsanapong Somsuk

“…This research introduces an algorithm for signing and verifying digital signatures on electronic official documents to establish the authenticity of a person’s identification. …”
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The Agglomeration of Food Services and Their Colocation with Surrounding Complementary Services in the Guangdong–Hong Kong–Macao Greater Bay Area by Yixiao Wang, Xibo Wu, Jian Qin, Xiaoying Zhang, Xiangyu Wang

“…It investigates these issues within the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), utilizing point-of-interest (POI) data, spatial kernel density, the HDBSCAN clustering algorithm, and colocation quotients. The findings are as follows: (1) this research reveals a significant spatial agglomeration of food services near the Pearl River, with notable food clusters across administrative boundaries; (2) Guangzhou, Shenzhen, Foshan, and Dongguan provide a significant quantity of food services, while Hong Kong and Macao feature the highest percentages of foreign cuisine; (3) the colocation between food services and surrounding services is concentrated along the Pearl River; (4) leisure, education, and residential services are key factors attracting the proximity of food services; (5) leisure, education, retail, and tourism services exhibit the strongest attractiveness to Chinese food, while residential and healthcare services are closely linked to the distribution of snacks, and transportation services attract snacks and beverages.…”
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Agricultural big data for predicting crop water demand by Zhongbo Liu, Guillermo Palacios-Navarro, Raquel Lacuesta

“…And using K-MEANS, KNN, Random Forest algorithm to mine the generated big data, and finally scientifically predict the water demand for crop growth in agricultural tomato greenhouses at 25–35° angles in Ningxia, China, the results show that the research results effectively predict the water demand of crops in this type of agricultural greenhouses in the region, and provide a reference to the prediction of water demand for other crops in the similar greenhouses in the region, as well as to the Water saving prediction of crops in agricultural greenhouses in the region, rational planning of water resource utilization, and development of scientific and reasonable irrigation system for agricultural greenhouses are all important references.…”
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MDCFVit-YOLO: A model for nighttime infrared small target vehicle and pedestrian detection. by Huiying Zhang, Qinghua Zhang, Yifei Gong, Feifan Yao, Pan Xiao

“…An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …”
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A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge by Jiafu Su, Jie Wang, Sheng Liu, Na Zhang, Chi Li

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Estimativa do balanço de radiação por sensoriamento remoto de diferentes usos de solo no sudoeste da Amazônia brasileira / Estimative of radiation balance by remote sensing of diff... by Luiz Carlos Da Silva, José Maurício Cunha, Nadja Gomes Machado, Milton César Costa Campos, Marcelo Sacardi Biudes

“…Changes in land use have motivated research on the dynamics of radiative and energy exchange in the Brazilian Amazon, which in turn cause demand for such data on the surface in spatial and temporal scales. …”
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ProvNavigator: shadow path guided attack investigation method by XI Hao, FAN Hao, YUAN Shenyang, ZHU Jinyu, CHEN Changhua, WAN Hai, ZHAO Xibin

“…However, existing log fusion techniques either rely on complex fusion rules or require reverse engineering of applications, necessitating algorithm adjustments when facing new applications, which limits their general applicability. …”
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Slax: a composable JAX library for rapid and flexible prototyping of spiking neural networks by Thomas M Summe, Siddharth Joshi

“…By streamlining the implementation and evaluation of novel SNN learning algorithms, Slax aims to facilitate research and development in this promising field.…”
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Stock market trend prediction using deep neural network via chart analysis: a practical method or a myth? by Erfan Radfar

“…Subsequently, we evaluate prior research applicability for stock markets and their efficacy in real-world applications. …”
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CONTROLLING OF INVESTMENT PROGRAMS OF ELECTRIC ENERGY COMPANIES by N. Gryzunova, I. Kiseleva, A. Tramova

“…The proposed investment-controlling algorithm allows preventing inefficient investments.…”
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Passive localization of signal source based on wireless sensor network in the air by Pengwu Wan, Yongjing Ni, Benjian Hao, Zan Li, Yue Zhao

“…Passive localization of the wireless signal source attracts a considerable level of research interest for its wide applications in modern wireless communication systems. …”
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Novel deep reinforcement learning based collision avoidance approach for path planning of robots in unknown environment. by Raed Alharthi, Iram Noreen, Amna Khan, Turki Aljrees, Zoraiz Riaz, Nisreen Innab

“…Reinforcement learning can address these issues using its action feedback and reward policies. This research presents a novel Q-learning-based reinforcement algorithm with deep learning integration. …”
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Analysis of Pre- and during COVID-19 Mixed Load Models on Unbalanced Radial Distribution System Using a New Metaphor-Less Rao Optimization by Jitendra Singh Bhadoriya, A. R. Gupta, Baseem Khan

“…The unstable load demand and poor voltage profile resulted from insufficient reactive power in the DS. This research implements a unique Rao algorithm without metaphors for the optimal allocation of multiple distributed generation (DG) and distribution static compensators (DSTATCOM). …”
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A novel method based on the SCNGO‐ICEEMDAN and MCNN‐BiLSTM model for fault diagnosis of motor bearings for more electric aircraft by Dongsheng Yuan, Feng Liu, Zhonggang Yin, Yanqing Zhang, Yanping Zhang, Peien Luo

“…In this article, a Northern Goshawk algorithm using a fusion subtraction optimiser and Cauchy strategy (SCNGO) is proposed to optimise the number of white noise additions and amplitude weights in the improved full set empirical mode decomposition method based on adaptive noise (ICEEMDAN). …”
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