Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification by Benjamin P. Veasey, Amir A. Amini

“…<italic>Goal:</italic> This paper investigates using Low-Rank Adaptation (LoRA) to adapt large vision models (LVMs) pretrained with self-supervised learning (SSL) for lung nodule malignancy classification. …”
Get full text

Cholec80-Boxes: Bounding Box Labelling Data for Surgical Tools in Cholecystectomy Images by Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Alberto Battistel, Paul David Docherty, Hisham ElMoaqet, Thomas Neumuth, Knut Moeller

“…Acquiring surgical data is challenging due to ethical constraints and the complexity of establishing data recording infrastructures. For machine learning tasks, there is also the large burden of data labelling. …”
Get full text

Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran by Shahab MohammadEbrahimi, Mohammad Dehghan, Behzad Kiani

“…Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions. …”
Get full text

Fault Detection of High-Speed Train Wheelset Bearing Based on Impulse-Envelope Manifold by Zhe Zhuang, Jianming Ding, Andy C. Tan, Ying Shi, Jianhui Lin

“…The manifold based on impulse-envelope space (impulse-envelope manifold) is executed to learn the low-dimensionality intrinsic envelope of vibration signals for fault detection. …”
Get full text

AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer by Jiawei Zhang, Feng Ding, Yitian Guo, Xiaoying Wei, Jibo Jing, Feng Xu, Huixing Chen, Zhongying Guo, Zonghao You, Baotai Liang, Ming Chen, Dongfang Jiang, Xiaobing Niu, Xiangxue Wang, Yifeng Xue

“…This study develops an AI-based prognostic model using deep learning that incorporates androgen receptor (AR) regional features from whole-slide images (WSIs). …”
Get full text

Multi-step multivariate forecasting of transmission power in NPPs using operational and meteorological data by Jaeseok Yoo, Young-jin Oh, Nam-hyun Kim, Soo-ill Lee, Jaepil Ko

“…In this study, we explored how to effectively handle the long-term dependence problem and various data characteristics to increase the forecasting accuracy of transmission power in NPPs by introducing a Seq2Seq model with an encoder-decoder structure and an attention mechanism, beyond traditional time series deep learning models, especially LSTM. This approach will improve the accuracy of transmission power forecasting and contribute to a stable power supply. …”
Get full text

Advances and Mechanisms of RNA–Ligand Interaction Predictions by Chen Zhuo, Chengwei Zeng, Haoquan Liu, Huiwen Wang, Yunhui Peng, Yunjie Zhao

“…However, determining the structures of these complexes experimentally can be technically challenging and often results in low-resolution data. Many machine learning computational approaches have recently emerged to learn multiscale-level RNA features to predict the interactions. …”
Get full text

Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting by Juan Carlos Moreno Sánchez, Héctor Gabriel Acosta Mesa, Adrián Trueba Espinosa, Sergio Ruiz Castilla, Farid García Lamont

“…This study uses these data to develop a wheat grain yield (GY) prediction model, using machine learning techniques such as Random Forest (RF), Support Vector Regression (SVR), and Extreme Gradient Boosting (XGBoost). …”
Get full text

CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software by Frank E. Rademakers, Elisabetta Biasin, Nico Bruining, Enrico G. Caiani, Rhodri H. Davies, Stephen H. Gilbert, Eric Kamenjasevic, Gearóid McGauran, Gearóid O’Connor, Jean-Baptiste Rouffet, Baptiste Vasey, Alan G. Fraser

“…Abstract The European CORE–MD consortium (Coordinating Research and Evidence for Medical Devices) proposes a score for medical devices incorporating artificial intelligence or machine learning algorithms. Its domains are summarised as valid clinical association, technical performance, and clinical performance. …”
Get full text

Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data by Lei Zhu, Jeffrey Gonder, Lei Lin

“…After that, the variability pattern of an individual’s travel behavior is used for estimating the individual’s social-demographic information, such as social-demographic role, by a supervised learning approach, support vector machine. In this study, a long-term (18-month) recorded GPS data set from Puget Sound Regional Council is used. …”
Get full text

IDIOMATIC POTENTIAL OF ANATOMICAL TERMINOLOGY AND ITS ROLE IN DEVELOPING ENGLISH LANGUAGE PROFICIENCY by Yu.V. Lysanets, O.M. Bieliaieva

“…Familiarizing students with English anatomical idioms in the course of ESP training contributes to the development of student's interest and motivation in learning a foreign language, broadening their outlook, and ensuring an in-depth understanding of the mechanisms of English figurative language, which is the key to successfully passing international proficiency tests and communicating in a foreign language environment.…”
Get full text

Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…To optimize the controller parameters, the Teaching–Learning-Based Optimization (TLBO) algorithm is utilized in conjunction with the Integral Time Absolute Error (ITAE) objective function, ensuring precise tuning for optimal control behavior. …”
Get full text

Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA by Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha

“…In establishing the FAGA, five dynamic fuzzy parameter controllers are devised in which fuzzy expert experience controller (FEEC) is integrated with automatic learning dynamic fuzzy controller (ALDFC) technique. …”
Get full text

Investigation of conscious mindfulness levels of individuals doing sports in the context of fitness centers in terms of various variables by Turan Baskonus

“…As a result, the higher conscious mindfulness levels of individuals who do sports research are an indication that learning about sports and doing research can deepen this process. …”
Get full text

Towards new modes of knowledge exchange for sustainability transformations: an exploration of multi-sited dialogue as conferencing practice by Blane Harvey, Ying-Syuan (Elaine) Huang, Bruce Goldstein, Nick Graham

“…Second, we see a growing recognition that fly-in, fly-out conferencing practices are an insufficient and unsustainable model for learning, boundary crossing and collaboration towards sustainability transformations. …”
Get full text

Physical Therapists’ Use of Psychological Skills Training in Rehabilitation Following Traumatic Knee Injury: An Online Survey Study by Niklas Cederström, Jonas Bloch Thorlund, Britt Elin Øiestad, Kristoffer Henriksen, Eva Ageberg

“…Participants rated workshops, courses, or formal education as the most useful methods of learning to use psychological skills training in clinical work…”
Get full text

Health assessment of a brushless direct current motor stator using a physics-informed long short-term memory network by Yi Ren, Runfei Yi, Zhaoxin Lian, Quan Xia, Dezhen Yang, Bo Sun, Qiang Feng

“…These results indicate that integrating physical information into deep learning methods is a promising approach by which to assess BLDC motor stator health.…”
Get full text

A Hierarchical Probabilistic Framework for Recognizing Learners’ Interaction Experience Trends and Emotions by Imène Jraidi, Maher Chaouachi, Claude Frasson

“…We seek to model the users’ experience within an interactive learning environment. More precisely, we are interested in assessing the relationship between learners’ emotional reactions and three trends in the interaction experience, namely, flow: the optimal interaction (a perfect immersion within the task), stuck: the nonoptimal interaction (a difficulty to maintain focused attention), and off-task: the noninteraction (a dropout from the task). …”
Get full text

A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…In this research, as a preliminary study on rail break detection system, a deep learning-based discontinuous rail position classification method, which is using vibration data obtained from distributed acoustic sensing (DAS) system during train operation, is proposed. …”
Get full text

Investigation of Cortical Signal Propagation and the Resulting Spatiotemporal Patterns in Memristor-Based Neuronal Network by Ke Ding, Zahra Rostami, Sajad Jafari, Boshra Hatef

“…Synaptic plasticity is one of the important foundations of learning and memory as the high-order functional properties of the brain. …”
Get full text