Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction by Emmanuel Onah, Uche Jude Eze, Abdullahi Salahudeen Abdulraheem, Ugochukwu Gabriel Ezigbo, Kosisochi Chinwendu Amorha, Fidele Ntie-Kang

“…This study aimed to enhance predictive performance by refining feature engineering and evaluating a diverse ensemble of machine learning models using the UCI DTC dataset. …”
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Mechanistic controls on permeability evolution in thermally-upgraded low-maturity oil shales: Application of machine learning outputs by Bo He, Lingzhi Xie, Xin Liu, Jun Liu, Derek Elsworth

“…In-situ thermal upgrading aids recovery from low-maturity oil shales where low permeability is the rate-limiting feature. We use machine leaning classified pore and pore network morphological descriptions recovered at elevated temperatures to define the dynamic thermal evolution of permeability. …”
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DP-FWCA: A Prompt-Enhanced Model for Named Entity Recognition in Educational Domains by Zhenkai Qin, Dongze Wu, Jiajing He, Jingming Xie, Aimin Wei

“…Our approach integrates domain-adaptive prompting to direct attention toward critical educational semantics, BERT-based contextual embeddings for robust representation learning, multi-scale convolutional neural networks (CNNs) with gated feature fusion to capture fine-grained local features, bidirectional LSTM networks augmented with self-attention to model long-range dependencies, and conditional random fields (CRFs) for structured sequence labeling. …”
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Intelligent Waste Management Using WasteIQNet With Hierarchical Learning and Meta-Optimization by Sakshi Tiwari, Snigdha Bisht, Kanchan Sharma

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Genotypic and Phenotypic Association of Agronomic Features in Triticale Genotypes under Drought Stress Conditions by Hassan Basiri, Omid Alizadeh, Forud Bazrafshan, Mehdi Zare, Mohammad Yazdani

“…Resistance to drought stress is a complex process that includes a network of plant responses at the physiological and molecular levels that have not yet been properly discovered and understood. …”
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Individual tree extraction through 3D promptable segmentation networks by Tianyu Xiu, Hanwen Qi, Jiabo Xu, XinLian Liang

“…Existing end‐to‐end deep learning‐based methods for extracting individual trees typically rely on extracting instance‐sensitive features and clustering techniques. In this paper, inspired by the Segment Anything Model (SAM) and prompt‐driven paradigm, we propose a novel approach to forest point cloud instance segmentation, called the 3D Promptable Segmentation Network (3DPS‐Net). …”
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A Global Irradiance Prediction Model Using Convolutional Neural Networks, Wavelet Neural Networks, and Masked Multi-Head Attention Mechanism by Walid Mchara, Lazhar Manai, Mohamed Abdellatif Khalfa, Monia Raissi, Salah Hannechi

“…The CNN extracts spatial and local features, WNN performs frequency decomposition to capture multi-scale variations, and MMHA models temporal dependencies while encoding positional information.The model is trained and evaluated on a real-world climatic dataset from Tunisia, collected over eight years. …”
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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…To improve robustness, we incorporate outranking measures, which reduce the impact of noise and uncertainty through pairwise comparisons of alternatives across features. We evaluate our classifiers on multiple UCI repository datasets and compare them with established methods, including k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), Random Forest (RF), Neural Networks (NNs), Naive Bayes (NB), and Nearest Centroid (NC). …”
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CNN-ViT: A multi-feature learning based approach for driver drowsiness detection by Madduri Venkateswarlu, Venkata Rami Reddy Chirra

“…The proposed system was evaluated on two separate datasets, named Dataset-1 and Dataset-2. …”
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Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability by Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Niall Higgins, Juan D. Velásquez

“…Attention weights and Shapley values were computed for each input feature to provide global and local explanations, offering insights into the models’ behavior and feature importance. …”
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The Evolution of Biometric Authentication: A Deep Dive Into Multi-Modal Facial Recognition: A Review Case Study by Mohamed Abdul-Al, George Kumi Kyeremeh, Rami Qahwaji, Nazar T. Ali, Raed A. Abd-Alhameed

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A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

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A novel robust network construction and analysis workflow for mining infant microbiota relationships by Wei Jiang, Yue Zhai, Dongbo Chen, Qinghua Yu

“…However, consistency and solid workflows to construct and evaluate the process of network analysis are lacking. …”
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Research on the Networking Strategy in Indoor Visible Light Communication by Yang Liu, Hua Zhao, Kaizhi Huang, Xinsheng Ji

“…The correlation studies mainly focus on the fields of elements design, physical layer communication, system planning and design on VLC network have not obtained enough attention yet. Therefore, the technical features of VLC and the typical network architecture were discussed, according to the evolution and development trend of the wireless communication system, some networking strategies for the indoor visible light networking were proposed, such as hierarchical cell coverage, control plane and user plane separation, distributed model and client-server model coexist in strategy. …”
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Optimal mixed control of networked reaction-diffusion systems by Xiaofeng Luo, Runzi He, Lifeng Hou, Shupeng Gao, Zhen Jin, Gui-Quan Sun, Lili Chang, Ludovico Minati, Stefano Boccaletti

“…We introduce a control scheme able to steer the evolution of networked reaction-diffusion systems toward any intended dynamics. …”
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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network by Jafar A. Alzubi, Kiran Sree Pokkuluri, Rajesh Arunachalam, Surendra Kumar Shukla, Sumanth Venugopal, Karthikayen Arunachalam

“…If the input images contain both masked and mask-free images, then it is directly given to Dual Scale Adaptive Efficient Attention Network (DS-AEAN). Otherwise, generated feature set 1 and feature set 2 are given to the DS-AEAN for recognizing the faces to ensure the person’s identity. …”
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Exploring Cooperative Game Mechanisms of Scientific Coauthorship Networks by Zheng Xie, Jianping Li, Miao Li

“…Hence, we propose a cooperative game model to explore the evolution mechanisms of scientific coauthorship networks. …”
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Minimum uncertainty as Bayesian network model selection principle by Grigoriy Gogoshin, Andrei S. Rodin

“…Abstract Background Bayesian Network (BN) modeling is a prominent methodology in computational systems biology. …”
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Capsule neural network and its applications in drug discovery by Yiwei Wang, Binyou Wang, Jun Zou, Anguo Wu, Yuan Liu, Ying Wan, Jiesi Luo, Jianming Wu

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ConBGAT: a novel model combining convolutional neural networks, transformer and graph attention network for information extraction from scanned image by Duy Ho Vo Hoang, Huy Vo Quoc, Bui Thanh Hung

“…In this study, we introduce ConBGAT, a cutting-edge model that seamlessly integrates convolutional neural networks (CNNs), Transformers, and graph attention networks to address these shortcomings. …”
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