Multimodal Network for Object Detection Using Channel Adjustment and Multi-Scale Attention by Yihang Ye, Mingxuan Chen

“…This design improves robustness while balancing computational efficiency. The model’s scalability is enhanced through its ability to adaptively process multi-scale information without being constrained by fixed-scale designs. …”
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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…Circadian experiments are the main focus of BioDare hence performing period analysis is a major feature of the system. …”
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Seismic Failure Probability of a Curved Bridge Based on Analytical and Neural Network Approaches by K. Karimi-Moridani, P. Zarfam, M. Ghafory-Ashtiany

“…In order to achieve accurate results in a neural network, 1677 seismic analysis was performed in OpenSees. To achieve better performance of neural network and reduce the dimensionality of input data, dimensionality reduction techniques such as factor analysis approach were applied. …”
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Research on interval prediction method of railway freight based on big data and TCN‐BiLSTM‐QR by Chenyang Feng, Yang Lei

“…The method uses grey relational analysis for data dimensionality reduction and feature extraction, and TCN, BiLSTM, and quantile regression for modelling. …”
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Flipping the classroom: developing teaching skills for future in-service english teachers by Heidi Marlen Marriott Toledo, Lucila Margarita Sánchez Pérez

“…The required skills future teachers need to accomplish, a higher level in both the students’ performance and class interest, can be developed through the Flipped classroom model, which is why this research work aims to explore diverse strategies that can be applied to blend theories such as multiple intelligences and higher order thinking in order to develop students’ critical thinking skills through the incorporation of technology outside and inside the classroom. …”
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Efficient Region-of-Interest Scalable Video Coding with Adaptive Bit-Rate Control by Dan Grois, Ofer Hadar

“…In addition, an adaptive bit-rate control is provided for the region-of-interest scalable video coding. The performance of the presented techniques is demonstrated and compared with the joint scalable video model reference software (JSVM 9.19), thereby showing significant bit-rate savings as a tradeoff for the relatively low PSNR degradation.…”
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A visual SLAM loop closure detection method based on lightweight siamese capsule network by Yuhan Zhou, Mingli Sun

“…We have designed a new feature extractor for capsule networks, and in order to further reduce the parameter count, we have performed pruning based on the characteristics of the capsule layer. …”
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Machine Learning Recognizes Stages of Parkinson’s Disease Using Magnetic Resonance Imaging by Artur Chudzik

“…Based on three separate experiments, the Logistic Regression approach was optimal, providing low feature complexity and strong predictive performance (accuracy: 85%, precision: 88%, recall: 85%) in PD-stage recognition. …”
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PARP inhibitors enhance antitumor immune responses by triggering pyroptosis via TNF–caspase 8–GSDMD/E axis in ovarian cancer by Ping Jin, Qi Zhang, Xin Li, Yu Xia, Yong Fang, Xiong Li, Ning Jin, Xiang-Ping Yang, Qing-Lei Gao, Zhengmao Zhang, Pu Huang, Yi-yu Qian, Zanhong Wang, Wen Pan, Si-Yuan Wang, Emmanuel Kwateng Drokow, Pingfei Li, Zhiqiang Han

“…To validate the induction of immunogenic cell death (ICD) by PARPis, we performed immunofluorescence/IHC staining with homologous recombination deficiency tumor cells and patient-derived xenograft tumor tissues, respectively. …”
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AI-Driven Boost in Detection Accuracy for Agricultural Fire Monitoring by Akmalbek Abdusalomov, Sabina Umirzakova, Komil Tashev, Jasur Sevinov, Zavqiddin Temirov, Bahodir Muminov, Abror Buriboev, Lola Safarova Ulmasovna, Cheolwon Lee

“…The proposed framework incorporates an optimized ConvNeXt backbone combined with a novel Feature Enhancement Block (FEB), specifically designed to refine spatial and contextual feature representation for improved detection performance. …”
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Predicting main behaviors of beef bulls from accelerometer data: A machine learning framework by Vinicius A. Camargo, Edmond A. Pajor, Sayeh Bayat, Jennifer M. Pearson

“…Matthews Correlation (MCC) and Cohen's Kappa (CK) coefficients were calculated for the overall assessment of the models’ levels. Comparisons of metrics obtained on LOAO and test sets were performed using the Wilcoxon Sum Rank and the Wilcoxon Signed Rank test. …”
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戶外教育課程評估指標建構之研究 Indicators for Evaluating Outdoor Education Curricula by 鄭智明 Chi Meng Cheang, 陳美燕 Mei-Yen Chen, 郭雄軍 Husing-Chun Kuo

“…Unlike other educational approaches, outdoor education involves leveraging outdoor environments to foster human–nature interactions, thereby conferring psychological, physiological, social, and educational benefits; this is the most unique feature of outdoor education. The outdoor education model explored in the current study was developed on the basis of experiential learning. …”
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Collaborative Estimation of Tropical Cyclone Wind Radii With Multitask Learning and Multiteacher Distillation by Jia Liu, Yinlei Yue, Yongjun Jin, Kaijun Ren, Xiang Wang, Kefeng Deng, Chongjiu Deng, Ke Deng

“…However, the widely deployed single-task models limit the sharing of feature representations and hinder the interaction of complementary information. …”
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Tool wear monitoring method based on AMIDBOAB and imbalanced data optimization by Guan-Hua Xu, Hong-Yu Wu, Bo Tang, Jun-Long Xu

“…Development of precise models for monitoring tool wear faces challenges due to imbalance of experimental data. …”
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Oil Spill Detection using Convolutional Neural Networks and Sentinel-1 SAR Imagery by E. Kalogirou, E. Kalogirou, K. Christofi, K. Christofi, D. Makri, D. Makri, M. A. Iqbal, V. La Pegna, M. Tzouvaras, M. Tzouvaras, C. Mettas, C. Mettas, D. Hadjimitsis, D. Hadjimitsis

“…The CNN model achieved a high test accuracy of 98.57%, with perfect precision (1.0000), recall of 96.43%, and F1 score of 0.9818, demonstrating strong performance and reliability. …”
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Human face localization and detection in highly occluded unconstrained environments by Abdulaziz Alashbi, Abdul Hakim H.M. Mohamed, Ayman A. El-Saleh, Ibraheem Shayea, Mohd Shahrizal Sunar, Zieb Rabie Alqahtani, Faisal Saeed, Bilal Saoud

“…This study presents a new methodology, which incorporates an advanced occluded face detection (OFD) model, in order to enhance feature extraction and detection network. …”
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The role of visual experience in haptic spatial perception: evidence from early blind, late blind, and sighted individuals by Lara A. Coelho, Daniela E. Aguilar Ramirez, Serena Basta, Marta Guarischi, Claudia L. R. Gonzalez, Monica Gori

“…Furthermore, early blind participants performed worse than both late blind and sighted participants, who performed similarly. …”
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Improved YOLOv8-Based Method for the Carapace Keypoint Detection and Size Measurement of Chinese Mitten Crabs by Ke Chen, Zhuquan Chen, Changbo Wang, Zhifan Zhou, Maohua Xiao, Hong Zhu, Dongfang Li, Weimin Liu

“…We redesigned the YOLOv8l-pose architecture by incorporating Swin Transformer as the backbone network to improve feature representation for multikeypoint detection on crab carapaces, significantly enhancing global contextual feature extraction capabilities. …”
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A Novel Hybrid Methodology Based on Transfer Learning, Machine Learning, and ReliefF for Chickpea Seed Variety Classification by İbrahim Kılıç, Nesibe Yalçın

“…Various experiments have been conducted using the four hybrid models developed. Their performance has been compared in terms of accuracy, recall, F1-score, precision, and AUC. …”
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Occupational Therapy Practice Based on New-Generation Information Technology for Employee Emotion Analysis and Management by Yueyuan Cheng

“…Firstly, the psychological state of employees is discussed from three aspects of leadership narcissism, organizational identification, and the emotional contagion effect, and the corresponding model is implemented. Secondly, based on the convolutional neural network technology, the facial feature recognition and the body feature recognition are combined, and the employees’ emotions can be accurately identified by establishing a multilearning emotion recognition network. …”
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