A Hybrid Approach for the Container Loading Problem for Enhancing the Dynamic Stability Representation by Ana María Montes-Franco, Juan Camilo Martinez-Franco, Alejandra Tabares, David Álvarez-Martínez

“…This paper presents a hybrid scheme to solve the CLP by embedding a mechanical model into a reactive GRASP algorithm, leading to two main novelties; namely, the substitution of the physics simulation engine to find the dynamic stability of the packing patterns, and a modified structure of the metaheuristic, guaranteeing specified minimum stability while achieving efficient packing patterns. …”
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Reservoir direct feedback alignment: deep learning by physical dynamics by Mitsumasa Nakajima, Yongbo Zhang, Katsuma Inoue, Yasuo Kuniyoshi, Toshikazu Hashimoto, Kohei Nakajima

“…Abstract The rapid advancement of deep learning has motivated various analog computing devices for energy-efficient non-von Neuman computing. While recent demonstrations have shown their excellent performance, particularly in the inference phase, computation of training using analog hardware is still challenging due to the complexity of training algorithms such as backpropagation. …”
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RBAU: Noval Redactable Model with Audit Mechanism and Key Update for Alliance Chain by Yineng Chen, Ting Guo, Qingshan Ren, Xiwen Yang, Xiaoxuan Chen, Shukun Liu, Fanzai Zeng

“…To overcome these challenges, the K-medoids clustering algorithm is first employed to select a redaction center and a consensus committee. …”
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Detection of axonal synapses in 3D two-photon images. by Cher Bass, Pyry Helkkula, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath

“…In this paper, we propose a new algorithm that does not require tracing the axon to detect axonal boutons in 3D two-photon images taken from the mouse cortex. …”
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Research into prediction and influential factors of circuit breaker closing time using BFGS-NN by Longcheng Dai, Jiaying Yu, Zhihui Huang, Hui Ni, Yifan Zhang, Junting Dou

“…A multi-factor prediction model was developed using the Broyden–Fletcher–Goldfarb–Shanno (BFGS) neural network algorithm, incorporating ambient temperature, dwell time, the number of actions, and working hours. …”
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Shaping embodied neural networks for adaptive goal-directed behavior. by Zenas C Chao, Douglas J Bakkum, Steve M Potter

“…Here, we embodied a simulated network, inspired by dissociated cortical neuronal cultures, with an artificial animal (an animat) through a sensory-motor loop consisting of structured stimuli, detailed activity metrics incorporating spatial information, and an adaptive training algorithm that takes advantage of spike timing dependent plasticity. …”
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The main approaches to the diagnosis and treatment of osteoporosis by N. V. Toroptsova, A. O. Sorokina, O. V. Dobrovolskaya

“…Osteoporosis is one of the most common diseases among the elderly, while it often remains undiagnosed, as it can occur without clinical symptoms, and fractures that occur with minor injury or spontaneous, doctors do not always correlate with its presence in the patient.Results. …”
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Quantification of Soil Water Retention Capacity in the Protected Water Management Area Žitný Ostrov (Slovakia) by Zdena Krnáčová, Mária Barančoková, Martin Labuda

“…These practices are essential for sustaining agriculture while protecting water resources amidst global climate challenges.…”
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Adaptive Energy Management Strategy for Hybrid Electric Vehicles in Dynamic Environments Based on Reinforcement Learning by Shixin Song, Cewei Zhang, Chunyang Qi, Chuanxue Song, Feng Xiao, Liqiang Jin, Fei Teng

“…Our algorithm’s engine operating point fluctuates less, and the working state is compact compared with Deep Q-Network (DQN) and Deterministic Policy Gradient (DDPG) algorithms. …”
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Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene by Xinhua Lu, Jingui Miao, Qingji Xue, Hui Wan, Hao Zhang

“…Compared to the baseline algorithm PoseNet, our algorithm has achieved a 41.1% reduction in translation error and a 61.1% decrease in rotation error, demonstrating superior performance in multi-scene absolute camera pose regression.…”
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Combination of Feature Selection and Learning Methods for IoT Data Fusion by V. Sattari-Naeini, Zahra Parizi-Nejad

“…In this paper, we propose five data fusion schemes for the Internet of Things (IoT) scenario,which are Relief and Perceptron (Re-P), Relief and Genetic Algorithm Particle Swarm Optimization (Re-GAPSO), Genetic Algorithm and Artificial Neural Network (GA-ANN), Rough and Perceptron (Ro-P)and Rough and GAPSO (Ro-GAPSO). …”
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A YOLOv8n-T and ByteTrack-Based Dual-Area Tracking and Counting Method for Cucumber Flowers by Liyang Su, Shujuan Zhang, Hongtu Zhang, Xiangsen Meng, Xiongkui He

“…Accurate counting of cucumber flowers using intelligent algorithms to monitor their sex ratio is essential for intelligent facility agriculture management. …”
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A Knowledge-Driven Smart System Based on Reinforcement Learning for Pork Supply-Demand Regulation by Haohao Song, Jiquan Wang

“…With the advancement of Agriculture 4.0, intelligent systems and data-driven technologies offer new opportunities for pork supply-demand balance regulation, while also confronting challenges such as production cycle fluctuations and epidemic outbreaks. …”
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Optimizing Energy Efficiency in Cloud Data Centers: A Reinforcement Learning-Based Virtual Machine Placement Strategy by Abdelhadi Amahrouch, Youssef Saadi, Said El Kafhali

“…Overall, the combination of Q-learning and the Firefly algorithm enables adaptive, SLA-compliant VM placement with improved energy efficiency.…”
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Using family-based imputation in genome-wide association studies with large complex pedigrees: the Framingham Heart Study. by Ming-Huei Chen, Jie Huang, Wei-Min Chen, Martin G Larson, Caroline S Fox, Ramachandran S Vasan, Sudha Seshadri, Christopher J O'Donnell, Qiong Yang

“…Therefore, we developed a novel pedigree splitting algorithm that can maximize the number of genotyped relatives for imputing each un-genotyped individual, while keeping new sub-pedigrees under a pre-specified size. …”
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A Blockchain Parallel Activity Architecture with Social Network Graphs as Carriers for Internet of Things Networks by Xin Cong, Lingling Zi

“…Thirdly, a parallel generation method for transaction blocks is designed to permit multiple nodes to collaborate in generating blocks, thereby reducing the difficulty of block generation while accelerating the generation speed. Finally, intra-block and cross-block conflict resolution algorithms, as well as a block consensus and fork processing algorithm, are designed to ensure that nodes can participate in blockchain activities without being at a disadvantage and obtain legal benefits even when operating on a network with high communication latency. …”
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Nowcasting Solar Irradiance Components Using a Vision Transformer and Multimodal Data from All-Sky Images and Meteorological Observations by Onon Bayasgalan, Atsushi Akisawa

“…The proposed architecture is compared against the baselines of the Ineichen clear sky model, a feedforward neural network (FFNN) where cloud coverage is computed from the ASIs by a simple color-channel threshold algorithm, and a hybrid of FFNN and U-Net model, which replaces the color threshold algorithm with fully convolutional layers for cloud segmentation. …”
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Linear Continuous-Time Regression and Dequantizer for Lithium-Ion Battery Cells with Compromised Measurement Quality by Zoltan Mark Pinter, Mattia Marinelli, M. Scott Trimboli, Gregory L. Plett

“…If the coarseness of rounding is not extreme, the steady-state is restored within a fraction of a millivolt. While a slight overestimation in the lower time constants occurs for overdamped systems, the algorithms outperform the conventional benchmark for first-order systems. …”
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Secure bio-inspired optimization with intrusion aware on-demand routing in MANETs by N. Naveen, J. Nirmaladevi

“…In addition, energy efficacy also plays vital role while selecting optimum path. Before that, the nodes which involve in the network are validated with the Digital Signature Algorithm based authentication procedure (DSA-Auth). …”
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Identification of ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis by Fan Gao, Jinzi Li

“…We used weighed gene co-expression network analysis (WGCNA) algorithm, single-factor logistic regression analysis, and LASSO algorithm to screen characteristic FR-DEGs. …”
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