Enhanced Oil Production Forecasting in CCUS-EOR Systems via KAN-LSTM Neural Network by Wei Xia, Qiu Li, Quan Shi, Rui Xu, Jiangtao Wu, Song Deng

“…In this study, we propose a novel KAN-LSTM model that integrates a KAN (knowledge-aware network) layer with a long short-term memory (LSTM) neural network to enhance the accuracy of oil production forecasting in CCUS-EOR applications. …”
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Design and Evaluation of a Leader–Follower Isomorphic Vascular Interventional Surgical Robot by Pengfei Chen, Yutang Wang, Dapeng Tian

“…The classification process includes time-frequency domain feature extraction, feature selection based on the Relief method and random forest (RF) method, and a BP neural network (NN) classifier. …”
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Median U-Turn Intersection Critical Parameter Research and Operational Performance Evaluation by Changxiang Zhao, Xuewen Liu, Tianhao Wu, Weiwei Zhang

“…By appropriately improving intersection features and conducting reasonable evaluations, the overall performance and sustainability of the MUT intersections in Xi’an city can be enhanced. …”
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Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia by Aditya Eaturu, Krishna Prasad Vadrevu

“…We evaluated model performance using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R2 (coefficient of determination). …”
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Strategy for Construction and Improvement of 4R Resilience Evaluation Model for Coastal Cities by Qixiang QIN, Weiping ZHANG, Yasen YIN

“…In city samples with low development intensity, road network should be properly encrypted and public service facilities should be evenly distributed to ensure better coverage of resource services in the context of ecological city construction.ConclusionThrough the empirical evaluation of typical coastal city samples, the guidance and control priorities and improvement strategies of coastal cities from the 4R evaluation dimensions are summarized. …”
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A publicly available pharyngitis dataset and baseline evaluations for bacterial or nonbacterial classification by Negar Shojaei, Habib Rostami, Mohammad Barzegar, Shokooh Saadat Farzaneh, Zohreh Farrar, Majid Alimohammadi, Jahanbakhsh Keyvani, Mehdi Mirzad, Leila Gonbadi

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Backpropagation Neural Network Implementation in Volumetric Modulated Arch Therapy of Brain Cancer Dose Prediction by Nafisa Imtiyaziffati Rasoma Muliarso, Prawito Prajitno, Dewa Ngurah Yudhi Prasada, Aloysius Putranto, Muhammad Fadli, Dwi Seno Kuncoro Sihono

“…Recent advancements in artificial intelligence (AI) offers an objective approach to improve the efficiency of VMAT planning.Material and Methods: In this study, the backpropagation neural network with 5-fold cross-validation model was employed to train the extracted Radiomics and dosiomics features from organ contours DICOM RT structure and dose distribution DICOM RT dose using 178 VMAT technique brain cancer patients. …”
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OCTOPUS: Across-social network user identification via multi-category spatio-temporal trajectories by Yating Qu, Ling Xing, Kaikai Deng, Honghai Wu, Yue Ling, Deshun Jia

“…To this end, we propose OCTOPUS, which consists of three modules: (i) a spatio-temporal extraction module adopts forward and backward LSTM networks to enhance the capacity of characterize spatio-temporal sequences, followed by using an attention mechanism to output complete user spatio-temporal features; (ii) a temporal perception module extracts temporal features from fine-grained and coarse-grained levels; (iii) a spatial location module obtains the spatial distribution of users to output user trajectory pair characteristics from global space. …”
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DCD-FPI: A Deformable Convolution-Based Fusion Network for Unmanned Aerial Vehicle Localization by Yufei He, Feiyang Chen, Jiahao Chen, Jiqi Fan, Enhui Zheng

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Swin Attention Augmented Residual Network: a fine-grained pest image recognition method by Xiang Wang, Zhiyong Xiao, Zhaohong Deng

“…On the one hand, Swin-AARNet enhances local key features and establishes a feature complementation mechanism, thereby improving the extraction capability of local features. …”
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Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis by Yusei Katsura, Arata Endo, Ismail Arai, Kazutoshi Fujikawa

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Estimation of Rice Leaf Nitrogen Content Using UAV-Based Spectral–Texture Fusion Indices (STFIs) and Two-Stage Feature Selection by Xiaopeng Zhang, Yating Hu, Xiaofeng Li, Ping Wang, Sike Guo, Lu Wang, Cuiyu Zhang, Xue Ge

“…To optimize the feature set, a two-stage feature selection strategy was employed, combining Pearson correlation analysis with model-specific embedded selection methods: Recursive Feature Elimination with Cross-Validation (RFECV) for Random Forest (RF) and Extreme Gradient Boosting (XGBoost), and Sequential Forward Selection (SFS) for Support Vector Regression (SVR) and Deep Neural Networks (DNNs). …”
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DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis by Zeeshan Ahmad, Shudi Bao, Meng Chen

“…In recent years, generative adversarial networks (GANs) have made significant progress in generating audio sequences. …”
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Color Night-Light Remote Sensing Image Fusion With Two-Branch Convolutional Neural Network by Jie Wang, Yanling Lu, Yuefeng Wang, Jianwu Jiang

“…First, TbCNN features a deep two-branch structure for multiscale feature extraction, yielding richer spatial texture features. …”
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Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learning by Pengpai Li, Bowen Shao, Guoqing Zhao, Zhi-Ping Liu

“…We discovered that the training and evaluation of ML models are profoundly influenced by network topology, potentially distorting model performance assessments. …”
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Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks by Marcin Brzozowski, Hendrik Salomon, Peter Langendoerfer

“…This work addresses a tough challenge of achieving two opposing goals: ensuring long lifetimes and supporting short end-to-end delays in sensor networks. Obviously, sensor nodes must wake up often to support short delays in multi-hop networks. …”
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Innovations to the ECHO model to enhance reach and network-building among addiction clinicians in Western Canada by Samantha Robinson, Isabella Brohman, Jenna van Draanen, Rivka Kushner, Nadia Fairbairn, Stephanie Glegg

“…Results The 52 ECHO sessions (from June 2019 to July 2022) attracted 2134 unique registrants with 5089 attendances (mean 124/session), 2132 newsletter subscribers, and 5842 podcast downloads. The evaluation included 844 post-session survey respondents and 53 interview participants. …”
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A Community Finding Method for Weighted Dynamic Online Social Network Based on User Behavior by Dongming Chen, Yanlin Dong, Xinyu Huang, Haiyan Chen, Dongqi Wang

“…Revealing the structural features of social networks is vitally important to both scientific research and practice, and the explosive growth of online social networks in recent years has brought us dramatic advances to understand social structures. …”
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Optimizing Intrusion Detection in IoMT Networks Through Interpretable and Cost-Aware Machine Learning by Abdelatif Hafid, Mohamed Rahouti, Mohammed Aledhari

“…This paper addresses the critical challenges in network security, particularly in IoMT, through advanced machine learning (ML) approaches. …”
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Impact of Sesbania Gum Addition on the Quality of Salami Based on Backpropagation-Artificial Neural Network Analysis by LU Hui, SONG Aiying, LING Feng, CAI Yuling, HUANG Qiliang, LIU Yunguo, KANG Dacheng

“…The quality of salami was evaluated in terms of its pH, water activity (aw), color difference, texture, sensory evaluation, and electronic nose analysis. …”
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