Efficient Solving of Boundary Value Problems Using Radial Basis Function Networks Learned by Trust Region Method by Mohie Mortadha Alqezweeni, Vladimir Ivanovich Gorbachenko, Maxim Valerievich Zhukov, Mustafa Sadeq Jaafar

“…A method using radial basis function networks (RBFNs) to solve boundary value problems of mathematical physics is presented in this paper. …”
Get full text

Frailty identification using a sensor-based upper-extremity function test: a deep learning approach by Mehran Asghari, Hossein Ehsani, Nima Toosizadeh

“…This study aims to enhance frailty prediction accuracy in older adults using a combined biomechanical and deep learning approach. We recruited 312 participants (126 non-frail, 145 pre-frail, 41 frail) and assessed frailty using the Fried index, upper-extremity function (UEF) test, and muscle force calculations. …”
Get full text

Identifying Non-Functional Requirements From Unconstrained Documents Using Natural Language Processing and Machine Learning Approaches by Qais A. Shreda, Abualsoud A. Hanani

“…In this paper, we propose an automatic approach to identify and classify non-functional requirements using semantic and syntactic analysis with machine learning approaches from unconstrained documents. …”
Get full text

Lessons Learned from the COVID-19 Pandemic: Simulation of the Tuberculosis Epidemic as a Function of Population Coverage with Screening by A. A. Starshinova, I. F. Dovgalyuk, N. N. Osipov, D. A. Kudlay

Get full text

Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques by Yang Li, Kun Zou, Yixuan Wang, Yucheng Zhang, Jingtao Zhong, Wu Zhou, Fang Tang, Lu Peng, Xusheng Liu, Lili Deng

Subjects: “…Machine learning…”
Get full text

Active Noise Control Using a Functional Link Artificial Neural Network with the Simultaneous Perturbation Learning Rule by Ya-li Zhou, Qi-zhi Zhang, Tao Zhang, Xiao-dong Li, Woon-seng Gan

Get full text

Effects of Visual Perception of Building Materials on Human Emotional States and Cognitive Functioning in a Physical Learning Environment by Yufeng Zhou, Xiaochen Zhao, Yongbo Feng, Changzheng Xuan, Changhan Yang, Xiaohu Jia

Subjects: “…physical learning environments…”
Get full text

Interpretable multimodal machine learning analysis of X-ray absorption near-edge spectra and pair distribution functions by Tanaporn Na Narong, Zoe N. Zachko, Steven B. Torrisi, Simon J. L. Billinge

“…Abstract We used interpretable machine learning to combine information from multiple heterogeneous spectra: X-ray absorption near-edge spectra (XANES) and atomic pair distribution functions (PDFs) to extract local structural and chemical environments of transition metal cations in oxides. …”
Get full text

Measurement of the Functional Size of Web Analytics Implementation: A COSMIC-Based Case Study Using Machine Learning by Ammar Abdallah, Alain Abran, Munthir Qasaimeh, Malik Qasaimeh, Bashar Abdallah

“…Next, a set of 50 web analytics projects were sized in COSMIC Function Points and used as inputs to various machine learning (ML) effort estimation models. …”
Get full text

Left Prefrontal Activity Reflects the Ability of Vicarious Fear Learning: A Functional Near-Infrared Spectroscopy Study by Qingguo Ma, Yujing Huang, Lei Wang

“…The present study was to examine empathy-related processes during fear learning by-proxy and to examine the activation of prefrontal cortex by using functional near-infrared spectroscopy. …”
Get full text

Accelerated discovery of high-density pyrazole-based energetic materials using machine learning and density functional theory by Muhammad Tukur Ibrahim, Muktar Musa Ibrahim, Adamu Uzairu, Gideon Adamu Shallangwa, Sani Uba

“…In this study we developed an efficient strategy that integrate data-driven approach with density functional theory to design novel pyrazole-based energetic materials. …”
Get full text

Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosis. by Tomer Fekete, Neta Zach, Lilianne R Mujica-Parodi, Martin R Turner

“…Intra- as well as inter-motor functional networks in the 0.03-0.06 Hz frequency band were derived from 40 patients and 30 healthy controls of similar age, and used as features for pattern detection, employing multiple kernel learning. …”
Get full text

Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study by Yuki Hashimoto, Norihiko Inoue, Takuaki Tani, Shinobu Imai

“…ObjectiveWe aimed to develop and validate machine-learning models to predict postoperative functional disability (≥5-point decrease in the Barthel Index) or in-hospital death in patients with cancer aged ≥ 65 years. …”
Get full text

Artificial intelligence-empowered functional design of semi-transparent optoelectronic and photonic devices via deep Q-learning by Caglar Cetinkaya, Erman Cokduygulular, Muhammed Yusuf Aykut, Okan Erkal, Fatma Aydogmus, Baris Kinaci

“…This study, for the first time, employs deep Q-learning, a reinforcement learning algorithm, to address this challenge, integrating transfer matrix method for precise optical calculations. …”
Get full text

Intelligent Evaluation of Permeability Function of Porous Asphalt Pavement Based on 3D Laser Imaging and Deep Learning by Rui Xiao, Jingwen Liu, Xin Li, You Zhan, Rong Chen, Wenjie Li

Get full text

High resolution soil moisture mapping in 3D space and time using machine learning and depth functions by Mo Zhang, Yong Ge, Gerard B.M. Heuvelink, Yuxin Ma

“…To address these challenges, we utilized an equal-area spline depth function combined with machine learning to map high spatial-vertical-resolution daily soil moisture across the Qinghai-Tibet Plateau. …”
Get full text

Improving the functionality of wireless sensor networks through the use of reinforcement learning and metaheuristic based energy efficient system by Shiwei Zhang, Xinghan Liu

Get full text

Cognitive, Behavioral, and Learning Profiles of Children with Above-Average Cognitive Functioning: Insights from an Italian Clinical Sample by Daniela Pia Rosaria Chieffo, Valentina Arcangeli, Valentina Delle Donne, Giulia Settimi, Valentina Massaroni, Angelica Marfoli, Monia Pellizzari, Ida Turrini, Elisa Marconi, Laura Monti, Federica Moriconi, Delfina Janiri, Gabriele Sani, Eugenio Maria Mercuri

Subjects: “…above-average cognitive functioning…”
Get full text

Abnormal intrinsic brain functional network dynamics in patients with retinal detachment based on graph theory and machine learning by Yuanyuan Wang, Yu Ji, Jie Liu, Lianjiang Lv, Zihe Xu, Meimei Yan, Jialu Chen, Zhijun Luo, Xianjun Zeng

Subjects: Get full text

Study protocol: How does cognitive flexibility relate to other executive functions and learning in healthy young adults? by Ke Tong, Yuan Ni Chan, Xiaoqin Cheng, Bobby Cheon, Michelle Ellefson, Restria Fauziana, Shengchuang Feng, Nastassja Fischer, Balázs Gulyás, Natalie Hoo, David Hung, Kastoori Kalaivanan, Christelle Langley, Kean Mun Lee, Li Ling Lee, Timothy Lee, Irene Melani, Nadhilla Melia, Jia Ying Pei, Lisha Raghani, Yoke Loo Sam, Peter Seow, John Suckling, Yan Fen Tan, Chew Lee Teo, Ryutaro Uchiyama, Hui Shan Yap, Georgios Christopoulos, Henriette Hendriks, Annabel Chen, Trevor Robbins, Barbara Sahakian, Zoe Kourtzi, Victoria Leong, CLIC Phase 1 Consortium

“…The current study aims to (1) establish the construct validity of CF in relation to other executive function skills and intelligence, and (2) elucidate specific relationships between CF, structure learning, creativity, career decision making and planning, and other life skills.…”
Get full text