LGFA-MTKD: Enhancing Multi-Teacher Knowledge Distillation with Local and Global Frequency Attention by Xin Cheng, Jinjia Zhou

“…Traditional distillation approaches often fall short in this context, as they struggle to fully capture and integrate the wide range of valuable information from each teacher. …”
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Spectral Precision: Recent Advances in Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for Pathogen Detection and Resistance Profiling by Ayman Elbehiry, Adil Abalkhail

“…Traditional culture-based and molecular diagnostic techniques often fall short in terms of speed, cost-efficiency, or scalability, particularly in resource-limited settings. …”
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AP-GRIP evaluation framework for data-driven train delay prediction models: systematic literature review by Tiong Kah Yong, Zhenliang Ma, Carl-William Palmqvist

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Benchmarking Anomaly Detection Methods for Extracardiac Findings in Cardiac MRI by Edgar Pinto, Patrícia M. Costa, Catarina Silva, Vitor H. Pereira, Jaime C. Fonseca, Sandro Queirós

“…Hereto, twenty state-of-the-art (SOTA) AD methods, including unsupervised, semi-supervised, and open-set supervised learning methodologies, are compared against two fully supervised baselines for detecting ECFs in anatomical planes of cardiac MR. …”
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History of science in a harmonic style [Review: Smagina G.I. 'Learning Science Historically…': Russian History of Science in the Early Decades of the 20th Century. St. Petersburg,... by V.P. Korzun

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Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks by Rami Haffar, David Sanchez, Josep Domingo-Ferrer

“…While synthetic data sets have been suggested as an alternative, they fall short of accurately representing the real data distribution. …”
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Obstacle Avoidance in Healthy Adults and People With Multiple Sclerosis: Preliminary fNIRS Study by Fares Al-Shargie, Michael Glassen, John DeLuca, Soha Saleh

“…Such biomarkers could aid in predicting future mobility decline, fall risk, and disease progression.…”
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Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review by Francesco De Micco, Francesco De Micco, Gianmarco Di Palma, Gianmarco Di Palma, Davide Ferorelli, Anna De Benedictis, Anna De Benedictis, Luca Tomassini, Vittoradolfo Tambone, Mariano Cingolani, Roberto Scendoni, Roberto Scendoni

“…We utilized the online tool Rayyan for efficient screening and selection of relevant studies from three different online bibliographic.ResultsAI systems, including machine learning and natural language processing, show promise in detecting adverse events, predicting medication errors, assessing fall risks, and preventing pressure injuries. …”
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Detection of Back Cover Material Defects Based on Convolutional Neural Network and TensorFlow by Sasa Ani Arnomo, Siti Fairuz Nurr Sadikan

“…The application of deep learning using TensorFlow to improve the efficiency of material quality control is highly needed. …”
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RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images by Yuchai Wan, Lili Zhang, Murong Wang

“…However, the accuracy of existing methods still falls short of clinical requirements and needs to be further improved. …”
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Introducing artificial intelligence and sperm epigenetics in the fertility clinic: a novel foundation for diagnostics and prediction modelling by Adelheid Soubry

“…I suggest using an integrated approach of biostatistics and machine learning methods to improve diagnostics and prediction modelling in the fertility clinic. …”
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A Comprehensive Multidimensional Analysis of Mental Health Challenges in the Digital Age by Fakhroddin Noorbehbahani, Hooman Hoghooghi Esfahani, Soroush Bajoghli

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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…Objective With the continuous development of science and technology, cutting-edge advancements such as artificial intelligence and deep learning increasingly penetrate various fields, significantly improving social productivity. …”
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Canonicidad y complejidad en el sistema verbal del español: implicaciones para los procesos de enseñanza/aprendizaje del español / Canonicity and complexity in the Spanish verbal s... by Théophile Ambadiang Omengele

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They came, they engaged, they changed: Evidence of impact of intensive pandemic professional development by Brittnee Earl, Lisa Berry, Meagan Haynes, Sarah Lausch, Susan Shadle, Teresa Focarile

“…As centers for teaching and learning (CTL) expand in the United States, so, too, does the need and desire for those of us working in the field of educational development to provide evidence of the impact of our work. …”
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Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification by Xu Yong, Sang Bicong, Zhang Yi

“…Finally, the reverse solution generated by the lens imaging principle can provide a new search direction through the mirror reverse learning strategy when the Pelican optimization algorithm falls into the local optimal. …”
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Cosine Similarity Template Matching Networks for Optical and SAR Image Registration by Wenxuan Xiong, Mingyu Sun, Hua Du, Bangshu Xiong, Congxuan Zhang, Qiaofeng Ou, Zhibo Rao

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Evidential Reasoning Approach for Predicting Popularity of Instagram Posts by L. Rivadeneira, I. Loor

“…However, they often fall short in transparency and interpretability. …”
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SSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification by Bin Wang, Gongchao Chen, Juan Wen, Linfang Li, Songlin Jin, Yan Li, Ling Zhou, Weidong Zhang

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NPP estimation by fusing geodetector and deep spatio-temporal networks by Xiaohui He, Chenqiao Yuan, Panle Li, Xijie Cheng, Mengjia Qiao, Xiaoyu He, Nan Yang, Guangsheng Zhou, Jiandong Shang

“…In recent years, deep learning has demonstrated significant potential in net primary productivity (NPP) estimation but the existing methods fall short in fully exploiting the spatio-temporal dependencies inherent in remote sensing data for modeling NPP. …”
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