Stomatal State Identification and Classification in Quinoa Microscopic Imprints through Deep Learning by Abdul Razzaq, Sharaiz Shahid, Muhammad Akram, Muhammad Ashraf, Shahid Iqbal, Aamir Hussain, M. Azam Zia, Sulman Qadri, Najia Saher, Faisal Shahzad, Ali Nawaz Shah, Aziz-ur Rehman, Sven-Erik Jacobsen

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A New Classification Method in Ultrasound Images of Benign and Malignant Thyroid Nodules Based on Transfer Learning and Deep Convolutional Neural Network by Weibin Chen, Zhiyang Gu, Zhimin Liu, Yaoyao Fu, Zhipeng Ye, Xin Zhang, Lei Xiao

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Shape graphs and the instantaneous inference of tactical positions in soccer by Ulrik Brandes, Hadi Sotudeh, Doğan Parlak, Paolo Laffranchi, Mert Erkul

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Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine by Yanbin Wang, Zhuhong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li, Tonghai Jiang

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Towards a Framework for Acquisition and Analysis of Speeches to Identify Suspicious Contents through Machine Learning by Md. Rashadur Rahman, Mohammad Shamsul Arefin, Md. Billal Hossain, Mohammad Ashfak Habib, A. S. M. Kayes

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A dual-image encryption scheme for sensitive region of traffic image using public key cryptosystem and novel chaotic map by Tingyu An, Tao Gao, Ting Chen, Donghua Jiang

“…Due to computational limits and security risks caused by key transmission, existing encryption techniques face challenges in efficiency and complex key management. To address these issues, we first introduce a novel three-dimensional composite chaotic map (3D-CCM) validated by various metrics to ensure superior complexity and randomness. …”
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DMformer: a transformer with denoising and multi-modal data fusion for enhancing BEV perception by Xuefeng Bao, Feng Liu, Yunli Chen, Yong Li, Rui Tian

“…Additionally, its superior detection capabilities in complex environments and for dynamic objects highlight its efficacy in BEV perception tasks.…”
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A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

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Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

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A noise-constrained lightweight high-quality image hiding method based on invertible neural networks by Minghui Zhu, Dapeng Cheng, Yanyan Mao, Lu Sun, Wanting Jing, Yue Kong, Jinjiang Li

“…Most existing image hiding methods have a large number of parameters, complex structures, and significant storage requirements. …”
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EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

“…For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
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Digital Trade Infrastructures: A Framework for Analysis by Boriana Rukanova, Stefan Henningsson, Helle Zinner Henriksen, Yao-Hua Tan

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Control-Flow-Based Methods to Support the Development of Sound Workflows by Thomas M. Prinz, Wolfram Amme

“…These techniques provide detailed diagnostic information and have a cubic asymptotic complexity of runtime. Their efficiency and quality is evaluated using a benchmark of over thousand real-world workflows together with two leading state-of-the-art approaches.…”
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Different Scale Crack Contour Extraction Techniques for Bridges Incorporating Improved YOLOv5 and GCNet by Yiming Wang, Yanfang Guo

“…Aiming at the lack of accuracy and efficiency of the traditional detection methods and the existing deep learning-based detection methods, this study proposes a contour extraction model for bridge cracks at different scales based on the deep learning algorithm. …”
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Salting-Out Assisted Liquid-Liquid Extraction of Cr (VI) from Water Samples before Its Determination by UV-Vis Spectrophotometry by Jote Dame, Feyisa Wedajo, Guyo Jilo Molole, Abera Gure

“…Parameters affecting the complexation process and the extraction efficiency of the method were studied. …”
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Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…Therefore, designing an intelligent fault detection method that integrates multimodal data, efficiently extracts deep features, and demonstrates strong generalization capability has become a key challenge in current research.This paper proposes an innovative fault detection method for chemical equipment aimed at improving detection accuracy and efficiency, providing technical support for intelligent and predictive maintenance. …”
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Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques by Syed Ibrar Hussain, Elena Toscano

“…Multiple networks, including XceptionNet, DenseNet, MobileNet, NASNet Mobile, and EfficientNet, were evaluated to test deep learning’s potential in complex, multi-class classification tasks. …”
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Cognitive assessment across normal aging and subjective cognitive decline using PGIMS and Stroop color-word test: A cross-sectional study by Akshata Rao, Abhijith R Rao, Bhawana Painkra, Sakthi Kiruthika, Sunil Kumar, Meenal Thakral, Swati Bajpai, Shodhan Aithal, Aparajit Ballav Dey, Prasun Chatterjee

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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.…”
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License Plate Recognition for Smart Construction Sites Based on GMH-YOLO by Ming Li, Ze-Quan Wang, Yu-Hang Zhao, Qiang Li

“…With the rapid urbanization, vehicle management at construction sites has become crucial for safety and logistics efficiency. However, License Plate Detection in such environments faces unique challenges, such as simultaneous detection of dual plates and body plates, strong light reflections, and muddy interferences. …”
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