LO-MLPRNN: A Classification Algorithm for Multispectral Remote Sensing Images by Fusing Selective Convolution by Xiangsuo Fan, Yan Zhang, Yong Peng, Qi Li, Xianqiang Wei, Jiabin Wang, Fadong Zou

“…To address the limitation of traditional deep learning algorithms in fully utilizing contextual information in multispectral remote sensing (RS) images, this paper proposes an improved vegetation cover classification algorithm called LO-MLPRNN, which integrates Large Selective Kernel Network (LSK) and Omni-Dimensional Dynamic Convolution (ODC) with a Multi-Layer Perceptron Recurrent Neural Network (MLPRNN). …”
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Exploring Therapeutic Potential of Bi-Qi Capsules in Treatment of Gout by Discovering Crucial Drug Targets by Jing Xie, Yu Zhang, Rong Ren, Ruizhen Bu, Liying Chen, Juezhuo Hou, Dandan Shang, Yadong Liu, Dan Wang, Tao Wang, Hong Zhou

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Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…Aiming at the problem of low detection accuracy of network traffic data types by traditional intrusion detection methods, we propose an improved Harris Hawk hybrid intrusion detection method to enhance the detection capability. …”
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An edge server placement based on graph clustering in mobile edge computing by Shanshan Zhang, Jiong Yu, Mingjian Hu

“…It trains the GCN network to achieve the best clustering results with the expectation of average delay and load balancing as the loss function to obtain the edge server placement and user assignment scheme. …”
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Improving Sharpness-Aware Minimization Using Label Smoothing and Adaptive Adversarial Cross-Entropy Loss by Tanapat Ratchatorn, Masayuki Tanaka

“…Intensive empirical experiments have been conducted to confirm the effectiveness of our methods, with experiments demonstrating improved performance in image classification tasks using different network architectures across various datasets. …”
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Genome-wide analysis of DnaJA proteins in Nicotiana tabacum reveals NtDnaJA3 responses to drought stress by Qiao Wang, Lijun Meng, Zechao Qu, Huan Su, Jiemeng Tao, Peng Lu, Chenfeng Hua, Jinbang Wang, Jianfeng Zhang, Peijian Cao, Jingjing Jin

“…Abstract Background DnaJA proteins, a prominent subfamily of the DnaJ family, function as molecular chaperones that respond to various external stresses. …”
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A Recyclable, Adhesive, and Self-Healing Ionogel Based on Zinc–Halogen Coordination Anion Crosslinked Poly(ionic Liquid)/Ionic Liquid Networks for High-Performance Microwave Absorp... by Lei Wang, Jie Liu, Meng Zong, Yi Liu, Jianfeng Zhu

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Enhanced sound insulation in double wall structures via MAMs: An RBF-based optimisation approach by Jie Zhang, Dan Yao, Wang Peng, Jiang Li, Shaoyun Guo

“…Second, an optimisation design method using an RBF neural network model was proposed, optimising the sound insulation peak frequency of the MAMs to align with the specific valley frequency of the double wall structure. …”
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Comparative Analysis of Anterolateral Ligament Reconstruction versus Lateral Extra-articular Tenodesis in Patients Undergoing Anterior Cruciate Ligament Reconstruction: A Systemati... by Sung Huang Laurent Tsai, Chen Huan Hsu, Wei-Cheng Chen, Cheng-Pang Yang, Hao-Che Tang, Chien-Hao Chen, Chih-Hao Chiu, Alvin Chao-Yu Chen, Kuo-Yao Hsu, Yi-Sheng Chan

“…Conclusions: The conclusion of our network meta-analysis suggests that ACLR, in combination with additional augmentation techniques, such as ALLR or LET, may result in superior functional outcomes compared to ACLR alone. …”
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IndoHerb: Indonesia medicinal plants recognition using transfer learning and deep learning by Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman, Ahmad Hoirul Basori, Andi Besse Firdausiah Mansur, Jati Batoro

“…The experimental setup featured essential hyperparameters, including the ExponentialLR scheduler with a gamma value of 0.9, a learning rate of 0.001, the Cross-Entropy Loss function, the Adam optimizer, and a training epoch count of 50. …”
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Coordination of smart inverter-enabled distributed energy resources for optimal PV-BESS integration and voltage stability in modern power distribution networks: A systematic review... by Olufunke Abolaji Balogun, Yanxia Sun, Peter Anuoluwapo Gbadega

“…Integrating photovoltaic (PV) and battery energy storage systems (BESS) in modern power distribution networks presents opportunities and challenges, particularly in maintaining voltage stability and optimizing energy resources. …”
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OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging by Xiaolu Ren, Xiaolu Ren, Lingxuan Hou, Shan Liu, Peng Wu, Siming Liang, Haitian Fu, Chengquan Li, Ting Li, Yongjing Cheng

“…BackgroundKnee osteoarthritis (KOA) constitutes the prevailing manifestation of arthritis. Radiographs function as a common modality for primary screening; however, traditional X-ray evaluation of osteoarthritis confronts challenges such as reduced sensitivity, subjective interpretation, and heightened misdiagnosis rates. …”
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Integrating multi-dimensional data to reveal the mechanisms and molecular targets of baikening granules for treatment of pediatric influenza by Zhaoyuan Gong, Qianzi Che, Mingzhi Hu, Tian Song, Lin Chen, Haili Zhang, Ning Liang, Huizhen Li, Guozhen Zhao, Lijiao Yan, Xuefei Zhang, Bin Liu, Jing Guo, Nannan Shi

“…Pathway and function enrichment were conducted on the relevant targets of BKN for treating pediatric influenza. …”
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Flexible grasping of robot arm based on improved Informed-RRT star by Xiong YIN, Yan CHEN, Wenhao GUO, Zichen YANG, Hanxin CHEN, An LIAO, Daojin YAO

“…First, the maximum number of iterations and the adaptive function are pre-set to shorten the generation time of the manipulator’s motion trajectory and enhance sampling guidance and quality. …”
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Genome-wide identification and expression pattern analysis of auxin response factor (ARF) genes in Chionanthus retusus and functional characterization of CrARF37 in terms of its ef... by Jinnan Wang, Liyang Guo, Ying Li, Yuzhu Wu, Mengmeng Wang, Shicong Zhao, Xu Xu, Jihong Li

“…Conclusion Based on gene family analysis, transcriptome gene co-expression network, and transgenic functional validation, we identified three ARF genes that may be associated with differences in C. retutus flower morphology. …”
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Integrative multiomics analysis reveals the subtypes and key mechanisms of platinum resistance in gastric cancer: identification of KLF9 as a promising therapeutic target by Pengcheng Zhang, Lexin Wang, Haonan Lin, Yihui Han, Jingfang Zhou, Hang Song, Peng Wang, Huanhuan Tan, Yajuan Fu

“…Gene expression profiles, prognosis, immune cell infiltration, chemotherapy sensitivity, and immunotherapy responsiveness were comprehensively evaluated for each subtype. Localization and functional evaluation were conducted at the single-cell and spatial transcriptomics levels, and predictive models were developed using machine learning techniques. …”
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Telegram bot-based Flood Early Warning System with WSN Integration by Abdul Wahid, Jumadi Mabe Parenreng, Welly Chandra Kusumah Kusnandar, Puput Dani Prasetyo Adi, Dendy Mahabror, Ros Sariningrum

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Reconstructing higher-resolution four-dimensional time-varying volumetric data by Ji Ma, Jinjin Chen

“…To tackle this challenge, we introduce a new GAN-based network called SSR-DoubleUNetGAN, which includes novel network architecture and loss functions, allowing for accurate synthesis of spatial super-resolution for time-varying volumetric data with relatively fast training time. …”
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Falls prevention interventions for community-dwelling older adults: systematic review and meta-analysis of benefits, harms, and patient values and preferences by Jennifer Pillay, Lindsay A. Gaudet, Sabrina Saba, Ben Vandermeer, Ashiqur Rahman Ashiq, Aireen Wingert, Lisa Hartling

“…Although usual care was the main comparator of interest, we included studies comparing interventions head-to-head and conducted a network meta-analysis (NMAs) for each outcome, enabling analysis of interventions lacking direct comparisons to usual care. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…Models from gradient boosting, CatBoost, and random forest machine learning (ML) algorithms were used to guarantee an accurate analysis, along with the artificial neural network regressions. Therefore, the ML and artificial neural network (ANN) models were trained using real data collected from 100 experimental RSW samples conducted under different RSW process parameters. …”
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