A Comparative Analysis of Time Series Forecasting Models and the Novel ELSTMD Approach for Renewable Energy Generation by Yousef Alkhanafseh, Tahir Cetin Akinci, Alfredo A. Martinez-Morales

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Comparative Study of Swarm-Based Algorithms for Location-Allocation Optimization of Express Depots by Yong-Wei Zhang, Qin Xiao, Xue-Ying Sun, Liang Qi

“…The proposed encoding scheme is verified on particle swarm optimization, differential evolution, artificial bee colony, and powerful differential evolution variant, and the performances are compared to those of the traditional encoding scheme. …”
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DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination by Shikha Dwivedi, Neeraj Kumar Goyal, Hariom Chaudhari

“…The proposed model is compared with existing approaches, demonstrating superior results across multiple datasets. …”
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Improved genetic algorithm based on rule optimization strategy for fibre allocation by Feng Tan, Zhipeng Yuan, Yong Zhang, Sheng Tang, Feng Guo, Shuai Zhang

“…The legitimate mutation operation, founded on weight optimization rules, effectively reduces the algorithm's running time by avoiding illegal solutions. …”
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Towards binary encoding in Bidirectional Associative Memories by Thaddé Rolon-Merette, Damiem Rolon-Merette, Sylvain Chartier

“…Bidirectional Associative Memories (BAMs) are Artificial Neural Networks frequently utilized in cognitive modeling. While bipolar encoding is commonly used in BAMs for optimal performance, binary encoding presents interesting properties. …”
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A Comparison of Binary and Integer Encodings in Genetic Algorithms for the Maximum <i>k</i>-Coverage Problem with Various Genetic Operators by Yoon Choi, Jingeun Kim, Yourim Yoon

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Silkworm segmentation based on encoder-decoder structure by Huimin Zhuang, Zicheng Liu, Jianping Dong, Dequan Guo, Guoquan Yuan, Bo Liu, Yu Liu

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Lightweight encoding for medical additive manufacturing files by Xin Zhao, Jinjie Huang, Mingcong Xu

“…Results The proposed encoding strategy achieved significant file size reductions, with Lite AMF and Lite 3MF formats reducing file sizes by 81.99% and 91.34%, respectively, compared to the original formats. …”
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A Comparative Study and Optimization of Camera-Based BEV Segmentation for Real-Time Autonomous Driving by Woomin Jun, Sungjin Lee

“…The optimization process was carried out in three stages: accuracy improvement, latency reduction, and model size optimization. …”
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A Cap-Optimized mRNA Encoding Multiepitope Antigen ESAT6 Induces Robust Cellular and Humoral Immune Responses Against <i>Mycobacterium tuberculosis</i> by Alena Kozlova, Ildus Pateev, Galina Shepelkova, Olga Vasileva, Natalia Zakharova, Vladimir Yeremeev, Roman Ivanov, Vasiliy Reshetnikov

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Dynamic Relevance-Weighting-Based Width-Adaptive Auto-Encoder by Malak Almejalli, Ouiem Bchir, Mohamed Maher Ben Ismail

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Comparative analysis of the effectiveness of BPG, AGU, AVIF and HEIF compression methods for medical images corrupted by noise of two types by Viktoriia Naumenko, Volodymyr Lukin, Vitalii Naumenko, Nadiia Kozhemiakina, Mykyta Solodovnyk

“…The goal of this study is to compare encoders regarding optimal image compression parameters and select the most suitable metric to determine the optimal operation point. …”
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Comparing Decision Tree and Support Vector Machines in Hospital Satisfaction by Dinda Anggraini, Indra Gamayanto, Sasono Wibowo

“…Patient satisfaction is a key indicator of hospital service quality. This study compares the performance of Decision Tree and Support Vector Machine (SVM) in classifying patient satisfaction at Harapan Hospital Magelang for service optimization. …”
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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…While our model performs best compared with other models tested in this study, more improvements are needed for optimal morphological preservation, especially in the presence of electrode motion artifacts.…”
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Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction by Mas Omar, Fitri Yakub, Andika Aji Wijaya, Ahmad Faiz Mohammad, Mohd Nazmin Maslan, Inge Dhamanti, Shi Zhongchao

“…The proposed model excels in 24-hour horizon task for the California dataset but underperforms for shorter horizons compared to the LSTM and basic Encoder-Decoder Transformer models. …”
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A VNS-NPGA approach to multi-objective optimization of hub-and-spoke logistics network by Changxi Ma, Chuwei Shi, Yun Yang, Yongpeng Zhao, Zhuye Xu, Bo Du

“…By considering the characteristics of decision variables and models, a variable neighborhood search (VNS)-niched Pareto genetic algorithm (NPGA) approach with a three-stage encoding structure chromosome is proposed, where the VNS algorithm nested in NPGA is used for individual variable neighborhood search to optimize individual channel level genes, and NPGA is adopted to solve the multi-objective optimization model. …”
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Dual-Streams Edge Driven Encoder-Decoder Network for Image Super-Resolution by Feng Li, Huihui Bai, Lijun Zhao, Yao Zhao

“…In this paper, considering the importance of edge prior for image SR, we propose a dual-streams edge driven encoder-decoder network, which combines edge stream-based encoder-decoder network (edge-EDN) and color stream based encoder-decoder network (color-EDN) to reconstruct HR images with more image details. …”
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REDalign: accurate RNA structural alignment using residual encoder-decoder network by Chun-Chi Chen, Yi-Ming Chan, Hyundoo Jeong

“…By utilizing a residual encoder-decoder network, REDalign can efficiently capture consensus structures and optimize structural alignments. …”
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Abnormal Electricity Consumption Behaviors Detection Based on Improved Deep Auto-Encoder by Nvgui LIN, Lanxiu HONG, Daoshan HUANG, Yang YI, Zhixuan LIU, Qifeng XU

“…To improve the feature extraction ability and the robustness of AE network, the sparse restrictions and the noise coding are introduced into the auto-encoder, and the hyper-parameters of AE network are optimized through the particle swarm optimization algorithm to improve the learning efficiency and generalization ability. …”
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Enhanced Reliability and Self‐Compliance of Synaptic Arrays for Multibit Encoded Neuromorphic Systems by Sungjoon Kim, Hyeonseung Ji, Sungjun Kim, Woo Young Choi

“…The number of synapses can be significantly reduced by grouping input data into a single memristor device. When comparing classification accuracies, 97.14% and 95.54% are observed without and with encoding. …”
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