Systematic Approach for Malware Detection in IoT Devices: Enhancing Security and Performance by Vasudeva Pai, B. H. Karthik Pai, G. S. Sudhiksha, Vandya Kamath, K. Varsha, S. Manjunatha

“…Using the IoT23 dataset, which contains a wide range of network traffic patterns from various IoT devices and malware families, the research explores and evaluates multiple machine learning techniques. …”
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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

“…These models are combined with a feature selection technique to forecast wind power. …”
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Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

“…This study addresses the performance of deep learning models for predicting human DNA sequence classification through an exploration of ideal feature representation, model architecture, and hyperparameter tuning. …”
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MSDCA: A Multi-Scale Dual-Branch Network with Enhanced Cross-Attention for Hyperspectral Image Classification by Ning Jiang, Shengling Geng, Yuhui Zheng, Le Sun

“…Second, a multi-branch directional feature module (MBDFM) enhances the network’s sensitivity to directional patterns and long-range spatial relationships. …”
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Programmed Cell Death Ligand 1 (PD-L1) and major Histocompatibility Complex Class I (MHC Class I) Expression Patterns and Their Pathologic Associations in triple-Negative Breast Ca... by Kaewkedsri P, Intarawichian P, Jessadapattarakul S, Kunprom W, Koonmee S, Thanee M, Somintara O, Wongbuddha A, Chadbunchachai P, Nawapun S, Aphivatanasiri C

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Enhancing Neurodegenerative Disease Diagnosis Through Confidence-Driven Dynamic Spatio-Temporal Convolutional Network by Ning Yuan, Donghai Guan, Shengrong Li, Li Zhang, Qi Zhu

“…However, existing classification methods for dynamic brain networks often rely on sliding windows to extract multi-window features, leading to suboptimal performance due to the spatio-temporal coupling on these windows and limited ability to effectively integrate complex topological features. …”
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Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries by Hisham ElMoaqet, Hamzeh Qaddoura, Mutaz Ryalat, Natheer Almtireen, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller

“…This study proposes a novel deep learning approach for surgical tool classification based on combining convolutional neural networks (CNNs), Feature Fusion Modules (FFMs), Squeeze-and-Excitation (SE) networks, and Bidirectional long-short term memory (BiLSTM) networks to capture both spatial and temporal features in laparoscopic surgical videos. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

“…The approach also incorporates an adaptive sampling rate with hierarchical dynamic position embeddings for context-aware multi-scale feature extraction. Feature channels are partitioned into specialized groups via an offset group mechanism to improve feature diversity, and a hierarchical deformable attention strategy further integrates local and global contexts to yield refined feature representations. …”
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Dynamic Wetland Evolution in the Upper Yellow River Basin: A 30-Year Spatiotemporal Analysis and Future Projections Under Multiple Protection Scenarios by Zheng Liu, Chunlin Huang, Ting Zhou, Tianwen Feng, Qiang Bie

“…The simulation results of the future spatial pattern of wetlands show that: under the FPS scenario, farmland and related land use will expand significantly, mainly through the development of beaches, dry land and unused land, while under the WPS scenario, wetlands will be strictly protected, the area of water resource features such as rivers, lakes and reservoirs will increase significantly, and land use changes will be more ecologically oriented. …”
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Forest Change Monitoring Based on Block Instance Sampling and Homomorphic Hypothesis Margin Evaluation by Wei Feng, Fan Bu, Puxia Wu, Gabriel Dauphin, Yinghui Quan, Mengdao Xing

“…<b>This approach struggles with accurately modeling complex patterns in high-resolution images and often results in redundant samples.…”
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Multiplex Network-Based Approach to Gas Sensing by Pradeep Bhadola, Ajit Khosla

“…We also observe a strong similarity in sensor response patterns between ethylene and ammonia. The shared features among certain gases indicate similar interaction patterns with sensors, potentially due to common chemical properties or response behaviors. …”
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Probing Bottom-up Processing with Multistable Images by Ozgur E. Akman, Richard A. Clement, David S. Broomhead, Sabira Mannan, Ian Moorhead, Hugh R. Wilson

“…Fixations were concentrated on features arranged in concentric rings within the pattern. …”
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Comparative analysis of electrical signals in facial expression muscles by Luna Adamov, Bojan Petrović, Lazar Milić, Vojin Štrbac, Sanja Kojić, Karunan Joseph, Goran M. Stojanović

“…Prior to thorough statistical analysis, features were extracted from the acquired electromyographs. …”
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Technical note: Impact of tissue section thickness on accuracy of cell classification with a deep learning network by Ida Skovgaard Christiansen, Rasmus Hartvig, Thomas Hartvig Lindkær Jensen

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On the invariance of the digital description of a handwritten signature by U. Yu. Akhundjanov, V. V. Starovoitov

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Schematic language of public cultural spaces in traditional villages of Shaanxi Province and its suitable construction model by Jing Zhang, Yuchen Xia, Subin Xu, Bolin Lei

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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

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Ukrainian Folk Ornaments in Modern Knitting by Liudmyla Melnyk, Olena Kyzymchuk, Liudmyla Zubkova

“… National arts and crafts are not only the skills of an individual nation but an ethnic phenomenon that has unique features and serves as a source of information on national history and culture. …”
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Potential Distribution of Tribe Erythroneurini in China Based on the R-Optimized MaxEnt Model, with Implications for Management by Xiaojuan Yuan, Weiwei Ran, Wenming Xu, Yuanqi Zhao, Di Su, Yuehua Song

“…The model was configured with LQP features and a default regularization multiplier value of 1. …”
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Anthracene-thiophene hybrid: a versatile fluorophore for advanced forensic and printing applications by Musallam Hamed Mahad Tabook, Rakshitha K Jain, Ananya S N, Anand P J, Dhanya Sunil

“…Smart functional fluorophores that own unique optical features are always of high demand for forensic science and printing applications. …”
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