Implementation of a Real-Time Analysis Simulation System for Traffic Signal Control Algorithms to Reduce Vehicle Exhaust Emissions and Improve Traffic Flow by Hyeokgyu Kwon, Jinhwan Jang, Jongsik Kim, Dongmahn Seo, Soobin Jeon

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Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification by Sifa Ozsari, Eda Kumru, Fatih Ekinci, Ilgaz Akata, Mehmet Serdar Guzel, Koray Acici, Eray Ozcan, Tunc Asuroglu

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Using Convolution Neural Network methods for the ultrasound characterization of porosity across carbon fiber reinforced polymer layers by Mihai-Mircea Vasilache, Iryna Tretiak, Rostand B. Tayong, Vladan Velisavljevic

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Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature by Pragati Patel, Sivarenjani B., Ramesh Naidu Annavarapu

“…The SEED dataset is employed for this study, and performance is evaluated through holdout cross-validation, considering accuracy, F1 score, precision, and recall metrices. …”
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Exploring the growth and impact of artificial intelligence in anesthesiology: a bibliometric study from 2004 to 2024 by Keke Liu, Weicheng Qiu, Xinping Yang

“…Despite progress, emerging concerns such as model interpretability, patient-centered outcomes, and multimodal data integration remain underexplored.ConclusionAI in anesthesiology is entering a phase of rapid interdisciplinary expansion, integrating clinical needs with computational innovation. Future research should prioritize the clinical validation of AI tools, foster stronger collaboration between computer scientists and anesthesiologists, and address unresolved translational gaps such as model interpretability and cross-modal data fusion.…”
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Spectral Doppler in mediastinal lymphadenopathy by Ahmed M. Amer, Khalid M. Kamel, Abdelghaffar A. Abdelghaffar, Rana K. El Said

“…Background Ultrasound is a minimally invasive diagnostic method that enables real-time sampling of the hilar and mediastinal lymph nodes. Aim To evaluate the role of spectral Doppler using endobronchial ultrasound (EBUS) in the differentiation of mediastinal lymph node lesions. …”
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Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty by Fatima Ezzahra Achamrah

“…Across extensive experiments, the approach consistently improves solution quality and computational efficiency. On average, it achieves at least a 5% improvement in solution quality and a 20% reduction in CPU time compared to state-of-the-art methods, with some variants showing even more substantial gains. …”
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Femoral tunnel widening is associated with thigh muscle weakness following anterior cruciate ligament reconstruction: A call for targeted rehabilitation by Bekir Eray Kilinc, Yunus Oc, Onur Gultekin, Ahmet Eren Sen, Demet Pepele Kurdal, Ali Varol

“…Tunnel widening rates were calculated as percentages using three-dimensional computed tomography. Statistical analysis included paired t-tests to assess tunnel widening effects. …”
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Novel pectin/chitosan Mo-MOF hydrogel for dye adsorption and pathogenic bacteria inhibition by Zahraa Sabah Ghnim, Ayat Hussein Adhab, Farag M. A. Altalbawy, Farag M. A. Altalbawy, Morug Salih Mahdi, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Uday Abdul-Reda Hussein, Hadil Hussain Hamza, Khursheed Muzammil, Ahmad Alkhayyat, Ahmad Alkhayyat, Ahmad Alkhayyat

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In-vehicle sensor-assisted platoon formation by utilizing vehicular communications by Dongliang Su, Sanghyun Ahn

“…To achieve this, we propose to use relative mobility information of vehicles computed from the sensory information for the leader election. …”
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Une approche computationnelle du cadastre napoléonien de Venise by Isabella di Lenardo, Raphaël Barman, Federica Pardini, Frédéric Kaplan

“…By systematically checking the consistency of the extracted information, these techniques also evaluate the precision and systematicity of the surveyors’ work and therefore indirectly qualify the trust to be placed in the extracted information. …”
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An Overview of Neutrosophic Graphs by Nihar Ranjan Panda, Prasanta Kumar Raut, Amarendra Baral, Srikanta Kumar Sahoo, Sakya Singh Satapathy, Said Broumi

“…However, we still need to resolve issues like interpretability and computational complexity. All things considered, neutrosophic graphs provide a viable framework for representing and evaluating ambiguous information in graph structures, with potential applications in a variety of fields. …”
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Automatic structural scene digitalization. by Rui Tang, Yuhan Wang, Darren Cosker, Wenbin Li

“…Such analysis system provides high accuracy and is also evaluated on a public website that, on average, archives more than ten thousands effective uses per day and reaches a relatively high satisfaction rate.…”
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Assessing Pain by Facial Expression: Facial Expression as Nexus by Kenneth M Prkachin

“…Alternative techniques that have the potential to overcome barriers to the application of facial assessment arising out of its resource-intensiveness are described and evaluated, including recent work on computer-based automatic assessment.…”
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Flexibility of PCNA-protein interface accommodates differential binding partners. by Anthony M Pedley, Markus A Lill, V Jo Davisson

“…A series of biochemical and computational analyses were combined to evaluate the PIP Box recognition features impacting complex formation. …”
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Temporal Segment Method in Sign Word Recognition Using a Pretrained CNN-LSTM Network by Seungju Lee, Irina Polyakova

“…Model performance was evaluated using Accuracy and F1-score metrics, allowing an objective comparison with alternative approaches. …”
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Brain Network Analysis Reveals Age-Related Differences in Topological Reorganization During Vigilance Decline by Lingyun Gao, Rui Zhang, Mengru Xu, Yi Sun, Gang Li, Yu Sun

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Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging by Sarah Husham, Aida Mustapha, Salama A. Mostafa, Mohammed K. Al-Obaidi, Mazin Mohammed, Alyaa Idrees Abdulmaged, S. Thomas George

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DistB-Condo: Distributed Blockchain-Based IoT-SDN Model for Smart Condominium by Anichur Rahman, Md. Jahidul Islam, Ziaur Rahman, Md. Mahfuz Reza, Adnan Anwar, M. A. Parvez Mahmud, Mostofa Kamal Nasir, Rafidah Md. Noor

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Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Zain Anwar Ali, Muhammad Ovais Akhter, Ahmed Alsanad, Areej Abdullah Alhogail, Abdu H. Gumaei

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