Acoustic recognition of individuals in closed and open bird populations by Lifi Huang, Rohan H. Clarke, Daniella Teixeira, André Chiaradia, Bernd Meyer

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A Strong Noise Reduction Network for Seismic Records by Tong Shen, Xuan Jiang, Wenzheng Rong, Lei Xu, Xianguo Tuo, Guili Peng

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Modeling and validation of wearable sensor-based gait parameters in Parkinson’s disease patients with cognitive impairment by Guo Hong, Guo Hong, Fengju Mao, Fengju Mao, Mingming Zhang, Fei Zhang, Fei Zhang, Xiangcheng Wang, Kang Ren, Kang Ren, Zhonglue Chen, Zhonglue Chen, Xiaoguang Luo, Xiaoguang Luo

“…The logistic regression model demonstrated superior predictive performance (test set AUC: 0.957), outperforming other machine learning algorithms. SHAP analysis revealed that Step Length, UPDRS-III score, Duration of PD, and Peak angular velocity during steering were the most influential predictors in the logistic regression model. …”
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Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media by Imran Shafi, Sadia Din, Zahid Hussain, Imran Ashraf, Gyu Sang Choi

“…Additionally, change in criminal content require the learning models to identify altered malicious textual contents which poses extra challenge. …”
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Early In-Hospital Mortality Prediction Based on xTimesNet and Time Series Interpretable Methods by Xueyan Wang, Zhengxing Yuan, Zhiqiu Yao, Youwei Yuan, Lanjun Luo

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Study on Quantitative Evaluation Method of Balance Ability in Cancer Patients Based on Gait Features by Junjie LIU, Xu ZHOU, Chao YU, Qingqing CAO, Zhiming YAO, Wanqiu ZHANG, Ling ZHANG, Wanqing YAO, Ning LIN

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Predicting Imminent Cyanobacterial Blooms in Lakes Using Incomplete Timely Data by Christopher M. Heggerud, Jingjing Xu, Hao Wang, Mark A. Lewis, Ron W. Zurawell, Charlie J. G. Loewen, Rolf D. Vinebrooke, Pouria Ramazi

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A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging by Sidrah Mumtaz, Mudassar Raza, Ofonime Dominic Okon, Saeed Ur Rehman, Adham E. Ragab, Hafiz Tayyab Rauf

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AI-Assisted Plasmonic Coupling Analysis of Spherical Gold Nanoparticles on Substrate by Valeria D. Babaylova, Vladislav S. Tuchin, Nikita S. Petrov, Aleksey V. Kochakov, Anton A. Starovoytov, Igor A. Gladskikh, Daler R. Dadadzhanov

“…Positively charged gold nanoparticles with a spherical shape were synthesized using a one-step synthesis method with a CTAB surfactant and deposited on a negatively charged modified glass substrate surface with an APTES/PSS layer. …”
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The Drivers of Hydrologic Behavior in Brazil: Insights From a Catchment Classification by André Almagro, Antônio Alves Meira Neto, Noemi Vergopolan, Tirthankar Roy, Peter A. Troch, Paulo Tarso S. Oliveira

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Explainable AI analysis for smog rating prediction by Yazeed Yasin Ghadi, Sheikh Muhammad Saqib, Tehseen Mazhar, Ahmad Almogren, Wajahat Waheed, Ayman Altameem, Habib Hamam

“…However, advancements in machine learning make it possible to quantify this contribution. …”
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Prediction of suicide using web based voice recordings analyzed by artificial intelligence by Agnieszka Ewa Krautz, Julia Volkening, Janik Raue, Christian Otte, Simon B. Eickhoff, Eike Ahlers, Jörg Langner

“…Abstract The integration of machine learning (ML) and deep learning models in suicide risk assessment has advanced significantly in recent years. …”
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Strategies to improve academic motivation in undergraduate nursing students in Iran: a qualitative content analysis by Mozhdeh Taheri Afshar, Arash Ziapour, Fakhreddin Chaboksavar, Shakiba Lajmiri, Murat Yıldırım, Fatemeh Mohammadkhah

“…By using the strategies to increase academic motivation resulting from this study, an effective step can be taken in this field. Also Understanding these influential strategies can play a significant role in educational and career planning and decision-making, selecting appropriate educational and clinical measures and facilities in the university and students’ future work environment, developing educational and career regulations, effective interaction with learners, ultimately increasing the effectiveness of professors’ teaching and better teaching and learning activities.…”
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Prediction of the water solubility by a graph convolutional-based neural network on a highly curated dataset by Nadin Ulrich, Karsten Voigt, Anton Kudria, Alexander Böhme, Ralf-Uwe Ebert

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Adaptive hybrid hyperparameter optimization with MRFO and Lévy flight for accurate melanoma classification by Shamsuddeen Adamu, Hitham Alhussian, Said Jadid Abdulkadir, Ayed Alwadin, Sallam O. F. Khairy, Hussaini Mamman, Shamsu Abdullahi, Saidu Yahaya, Aliyu Garba, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Daniel Tonye Oyefidein

“…To address these limitations, an enhanced variant, MRFO-LF, was proposed by incorporating Lévy flight-based exploration, adaptive step-size decay, and a hybrid stochastic–deterministic search mechanism. …”
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Benchmarking with a Language Model Initial Selection for Text Classification Tasks by Agus Riyadi, Mate Kovacs, Uwe Serdült, Victor Kryssanov

“…Benchmarking, a critical step when evaluating AI solutions with machine learning models, particularly with language models, has recently become a focal point of research aimed at reducing AI carbon emissions. …”
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Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks by Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam

“…The best classification scores, 98.5 and 88.6% accuracy, were obtained after multiple steps of analysis. Additionally, a comparison with existing state-of-the-art methods revealed a notable improvement in the suggested architecture’s accuracy.…”
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CDWMamba: Cloud Detection with Wavelet-Enhanced Mamba for Optical Satellite Imagery by Shiyao Meng, Wei Gong, Siwei Li, Ge Song, Jie Yang, Yu Ding

“…Accurate cloud detection is a critical preprocessing step in remote sensing applications, as cloud and cloud shadow contamination can significantly degrade the quality of optical satellite imagery. …”
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Addressing the Minority Tax by Building Diversity Capital: A Case-Based Discussion by John P. Sánchez, Deion Ellis, Veronica Plaza, Andrea Vélez, Jose Rodriguez, Laura Duque Lasio, Fabiola Quintero-Rivera

“…A comparison of pre- and postworkshop responses using related-samples Wilcoxon signed-rank test showed a significant increase in learners’ confidence in meeting each learning objective (p < .01). Learners particularly valued the inclusion of quotes exemplifying minority taxation, and the interactive, realistic case discussions on building diversity capital. …”
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A capsule network framework for flood mapping integrating remote sensing fusion techniques by Pouya Ahmadi, Mohammad Javad Valadan Zoej, Mehdi Mokhtarzade, Nazila Kardan Halvaie, Ebrahim Ghaderpour

“…The proposed flood mapping methodology is implemented in three main steps: (1) fusing radar and optical data, (2) utilizing a capsule deep learning network to preserve the relationships among features extracted from the convolutional neural network (CNN), and (3) applying a mechanism to enhance the accuracy of flood zoning. …”
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