Collaborative Optimization Strategy for Dependent Task Offloading in Vehicular Edge Computing by Xiting Peng, Yandi Zhang, Xiaoyu Zhang, Chaofeng Zhang, Wei Yang

“…Traditional offloading strategies, however, fall short in the highly dynamic environment of the Internet of Vehicles. …”
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BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation by David Jozef Hresko, Peter Drotar

“…However, due to their nature, these networks often struggle to delineate desired structures in data that fall outside their training distribution. The goal of this study is to address the challenges associated with domain generalization in CT segmentation by introducing a novel method called BucketAugment for deep neural networks. …”
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Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

“…However, conventional machine learning approaches often fall short in accurately detecting AD due to their limited architectures. …”
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Integrating SEResNet101 and SE-VGG19 for advanced cervical lesion detection: a step forward in precision oncology by Yan Ye, Yuanyuan Chen, Jiajia Pan, Peipei Li, Feifei Ni, Haizhen He

“…Current methods, such as Pap smears and HPV testing, often fall short in sensitivity and specificity. Deep learning models hold the potential to enhance the accuracy of cervical cancer screening but require thorough evaluation to ascertain their practical utility. …”
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Using fMRI-Based Multi-Scale Perception Models to Explore Cognitive Load and Attention Allocation in Education by Lu Chen, Hongli Lou, Pin Yue, Jianwen Chen

“…., reaction times, eye-tracking), provide valuable insights but fall short in capturing real-time neural mechanisms. …”
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RM2D: An automated and robust laser-based framework for mobile tunnel deformation detection by Boxun Chen, Ziyu Zhao, Lin Bi, Zhuo Wang

“…Leveraging this representation, we assess deformations and scrutinize results through machine learning models to swiftly pinpoint tunnel deformation locations. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…However, these methods often fall short in detecting sophisticated and evolving threats, particularly those involving subtle variations or mutations of known attack patterns. …”
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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…Traditional machine learning (ML) models often fall short in predicting the highly variable nature of smart grid operations. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…The training process was optimized with learning rate reduction and early stopping callbacks to prevent overfitting. …”

La tecnología como complemento al proceso de enseñanza-aprendizaje de la flauta dulce en la etapa de Educación Primaria / Technology as a complement to the teaching-learning proces... by Paloma Bravo-Fuentes

“…The students have a group class per week of no more than one hour in duration, being a complex that performs a real individualization of the learning process. After the collective class, the students have to practice at home alone, with the responsibility for their progress in the study falling on themselves.This work proposes the inclusion of a digital tool as a complement to the deficiencies that the teaching-learning process of the instrument presents, as well as a proposal for a study protocol to be followed by the student in their autonomous progress.TThe objective of the computer application is to offer the possibility of listening to the musical piece, showing the score, recording the performances and, finally, providing references and data on the mistakes made, both to the students and to the teaching figure. …”
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Water pollution and water quality assessment and application of criterion impact loss (CILOS), geographical information system (GIS), artificial neural network (ANN) and decision-l... by Abhijeet Das

“…Further, the CILOS-WQI revealed that 31.58 % i.e., sites SP-(2), (8), (10), (11), (13), and (19) and 5.26 % (site SP-9) of evaluated sites are kept under poor/very poor water quality, while, rest 47.37 % of tested locations fall within the purview of excellent water. It turned out that the primary sources of the river's water quality adulteration were agricultural runoff and illegally deposited municipal solid waste, which may have contributed to the decline of domestic water. …”
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Privacy-Preserving Approach for Early Detection of Long-Lie Incidents: A Pilot Study with Healthy Subjects by Riska Analia, Anne Forster, Sheng-Quan Xie, Zhiqiang Zhang

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Bridging Tangible and Intangible: A Pedagogical Model for Mediterranean Cities in Architectural Education by Mougibelrahman Aboamer

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Continuous patient monitoring with AI: real-time analysis of video in hospital care settings by Paolo Gabriel, Peter Rehani, Tyler Troy, Tiffany Wyatt, Michael Choma, Narinder Singh

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Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? by Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian

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Predicting nighttime black ice using atmospheric data for efficient winter road maintenance patrols by Jinhwan Jang

“…Data analysis indicates that nighttime icing occurs when the atmospheric temperature falls below 4 °C and the relative humidity exceeds 75 %. …”
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Research on AGV Path Planning Based on Improved DQN Algorithm by Qian Xiao, Tengteng Pan, Kexin Wang, Shuoming Cui

“…Traditional deep reinforcement learning methods suffer from slow convergence speeds and poor adaptability in complex environments and are prone to falling into local optima in AGV system applications. …”
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Geometric Analyses of the Expiratory Flow–Volume Curve to Identify Expiratory Flow Limitation During Exercise by Hans Haverkamp, Gregory Petrics, Yannick Molgat-Seon

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Anrechnung von Bildungsleistungen in der höheren Berufsbildung. Rahmenbedingungen und Anrechnungspraxis an Höheren Fachschulen in der Schweiz by Sonja Engelage, Carmen Baumeler, Patrizia Salzmann, Christine Hämmerli

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Multi-Modal Feature Set-Based Detection of Freezing of Gait in Parkinson’s Disease Patients Using SVM by Ghulam Murtaza, Mohammed Hammoud, Andrey Somov

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