Multimodal Data Fusion for Depression Detection Approach by Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova

“…On the test dataset, this network achieved an f1-score of 0.79 and an overall classification accuracy of 0.86, indicating its effectiveness in detecting depression.…”
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Using Open-Source Components to Process Interferometric TerraSAR-X Spotlight Data by Michael Jendryke, Timo Balz, Houjun Jiang, Mingsheng Liao, Uwe Stilla

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Vocal Emotion Perception in Children Using Cochlear Implant by Puttaraju Sahana, Puttabasappa Manjula

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Innovative approaches to English pronunciation instruction in ESL contexts: integration of multi-sensor detection and advanced algorithmic feedback by Li Ping, Ning Tao

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A New Method for Calculating the Cementation Exponent of Triple-Porosity Media Reservoirs by Dahai Wang, Jinbu Li, Lili Liu, Ji Zhang, Zhanhai Yu, Jun Peng

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Isolation and Partial Characterization of Bioactive Fucoxanthin from Himanthalia elongata Brown Seaweed: A TLC-Based Approach by Gaurav Rajauria, Nissreen Abu-Ghannam

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Sampling with Prior Knowledge for High-dimensional Gravitational Wave Data Analysis by He Wang, Zhoujian Cao, Yue Zhou, Zong-Kuan Guo, Zhixiang Ren

“…In this study, we incorporate prior physical knowledge by sampling from desired interim distributions to develop the training dataset. Accordingly, the more relevant regions of the high-dimensional feature space are covered by additional data points, such that the model can learn the subtle but important details. …”
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Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach by Siti Aminah, Gianinna Ardaneswari, Mufarrido Husnah, Ghani Deori, Handi Bagus Prasetyo

“…This study is aimed at developing an efficient classification model for coronavirus protein sequences using machine learning algorithms and feature selection techniques to aid in the early detection and prediction of novel viruses. We utilized a dataset comprising 2000 protein sequences, including 1000 SARS-CoV-2 sequences and 1000 non-SARS-CoV-2 sequences. …”
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A Lightweight Anti-Unmanned Aerial Vehicle Detection Method Based on Improved YOLOv11 by Yunlong Gao, Yibing Xin, Huan Yang, Yongjuan Wang

“…In this paper, experimental validation was carried out using the DUT ANTI-UAV dataset, and, compared to the baseline model YOLOv11, the method we propose improved the P, R, mAP50, and mAP50-05 metrics by 4%, 4.5%, 4.1%, and 4.9%, respectively, and decreased the parameters by 38.4%. …”
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Performance Analysis of Wind-Induced Piezoelectric Vibration Bimorph Cantilever for Rotating Machinery by Gongbo Zhou, Houlian Wang, Zhencai Zhu, Linghua Huang, Wei Li

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Thyroid disorders and the incidence of type 2 diabetes: insights from a 10-year cohort study in Germany by Theresia Sarabhai, Karel Kostev

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Movement traits important to conservation and fisheries management: an example with red snapper by Susan K. Lowerre-Barbieri, Kara Wall, Claudia Friess, Sean Keenan, Chad Lembke, Joseph Tarnecki, Laura Jay Williams-Grove, William F. Patterson

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Development and Supervision of Robo-Advisors under Digital Financial Inclusion in Complex Systems by Wensheng Dai

“…Analyzing the performance of the improved K-means algorithm, in the operation of the experimental dataset B, the accuracy of the clustering result after 6 iterations reached 97.08%, which shows that the algorithm has good performance. …”
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Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks by Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz

“…The function of EGWO is to remove unnecessary features from datasets used for intrusion detection. To test the new FS technique and decide on an optimal set of features based on the accuracy achieved and the feature taking filters, the most recent FS approach relies on the NF-ToN-IoT dataset. …”
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Analysis of Noise Pollution during Dussehra Festival in Bhubaneswar Smart City in India: A Study Using Machine Intelligence Models by Sourav Kumar Bhoi, Chittaranjan Mallick, Chitta Ranjan Mohanty, Ranjan Soumya Nayak

“…Moreover, it is observed that the probability of prediction of noise pollution level for the testing dataset for DT is higher for high noise level and for RF is higher for low noise level than other prediction models.…”
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Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…Since the proposed method is able to export the prediction dataset of upstream and prediction points simultaneously, it can be applied to collaborative management and also has good potential prospects for application in freeway networks.…”
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Dynamic Response and Failure Characteristics of Slope with Weak Interlayer under Action of Near-Fault Ground Motion by Bing Yang, Jiangrong Hou, Yifei Liu, Zihong Zhou

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A Comparison of Impact of Chronic Periodontal Diseases and Nonsurgical Periodontal Therapy on Oral Health-Related Quality of Life by Khushboo Goel, Dharnidhar Baral

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Knowledge Level of DAGUSIBU in Pharmacy Department Students at Health Polytechnic of Tanjung Karang by Elma Viorentina Sembiring, Ani Hartati, Siti Julaiha

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Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

“…In the face and iris recognition systems, performance is evaluated using two human face databases, YALE and CASIA, and the UBiris dataset. In this method, we initially perform feature extraction and then recognition on the extracted features. …”
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