ARTIFICIAL INTELLIGENCE FROM THE POSITION OF MIND SCHEME by Evgeniy V. Asaulenko

Get full text

Research on ultra wide band NLoS/LoS recognition method based on the fusion of 1DCNN and LSTM by ZHENG Enrang, MENG Xin, JIANG Suying, XUE Jing, ZHANG Yi, LI Qiang

Get full text

Detection Method for Safety Helmet Wearing on Construction Sites Based on UAV Images and YOLOv8 by Xin Jiao, Cheng Li, Xin Zhang, Jian Fan, Zhenwei Cai, Zhenglong Zhou, Ying Wang

“…To address these issues, this study proposes a helmet detection method based on unmanned aerial vehicles (UAVs) and the YOLOv8 object detection algorithm. …”
Get full text

Agricultural Machinery Movement Trajectory Recognition Method Based on Two-Stage Joint Clustering by Shuya Zhang, Hui Liu, Xiangchen Cao, Zhijun Meng

“…Compared with mainstream deep learning models such as LSTM and Transformer, this method delivers comparable recognition accuracy without the need for labeled data training, significantly reducing recognition costs. …”
Get full text

Transforming mathematics education in Kazakhstan: evaluating the impact of innovative teaching methods on student outcomes in technical universities by Elmira Saparbayeva, Marzhan Abdualiyeva, Yerlan Torebek, Alma Kostangeldinova, Abay Tursynbayev, Gulchekhra Takibayeva, Aigul Sabalakhova

Get full text

Article RETRACTED due to manipulation by the authors The Hybrid Learning System With Project Based Learning: Can It Increase Creative Thinking Skill and Learning Motivation in Phys... by Rifqi Festiawan, Eko Sumanto, Ayu Rizky Febriani, Asep Angga Permadi, Z. Arifin, Andri Wahyu Utomo, Wildan Alfia Nugroho, Kukuh Wahyudin Pratama

“… This research aims to determine the effect of hybrid learning using the project based learning method on creative thinking abilities and learning motivation. …”
Get full text

AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm by CHEN Xiufeng, WANG Chengxin, WU Yuechen, GU Kexin

Get full text

A Method of Locating and Measuring Train Wheel Tread Defects Based on YOLOv3-tiny by JIN Kairong, WANG Junping, CHEN Shenglan

Get full text

Research on Breast Cancer Detection Methods Based on ODMV-MulDyHead-YOLO by Yanhong Zhang, Pei Li, Yihua Lan, Xiao Jia, Yingjie Lv

Get full text

Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…Of the many environmental perception sensors, light detection and ranging (LiDAR), which provides high-precision three-dimensional point cloud data, plays a vital role in environmental perception of and object detection by autonomous driving systems. Advanced LiDAR-based object detection methods leverage deep learning techniques to extract object features, predict object locations, and classify objects within an end-to-end neural network framework, achieving remarkable accuracy in many general scenarios. …”
Get full text

Research on the Nonlinear and Interactive Effects of Multidimensional Influencing Factors on Urban Innovation Cooperation: A Method Based on an Explainable Machine Learning Model by Rui Wang, Xingping Wang, Zhonghu Zhang, Siqi Zhang, Kailun Li

“…The Physical Space dimension (20.46%) generally exhibits mutation points during the early stages of urban development, with overall relationships predominantly characterized by nonlinear positive trends. (3) Through the application of PDP, it is further determined that IU has a positive synergistic effect with per capita Foreign Direct Investment (FDI), public library collections per capita (LC), and city night light data (NPP), while exhibiting a negative antagonistic effect with Average Annual Wage of Staff (AAS) and number of Enterprises above Designated Size in Industry (EDS). (4) For cities at different developmental stages, tailored development proposals should be formulated based on single-factor contribution and multifactor interaction effects. …”
Get full text

Effects of problem-based learning on EFL learning: A systematic review. by Qian Guo, Halimah Jamil, Lilliati Ismail, Shujie Luo, Zhubin Sun

“…Problem-based learning (PBL) is an innovative pedagogical approach that facilitates students' self-regulated learning, thereby improving their English proficiency. …”
Get full text

A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering by Mohammad Mehran Lesan Sedgh, Alimohammad Latif, Sima Emadi

Get full text

BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

“…Smart home technology enhances the quality of life, particularly with respect to in-home care and health monitoring. While video-based methods provide accurate behavior analysis, privacy concerns drive interest in non-visual alternatives. …”
Get full text

A planning method for traditional villages based on natural language processing and geographic information systems by Zongming Liu, Yue Zhu, Xiaoyu Zhang, Kongxi Zhu, Wei Hong

Get full text

Increasing the Level of Cognitive Activity of Students of the Secondary Vocational Education System in Computer Science Classes Based on a Collective Learning Method by K. E. Timofeeva

“…Based on the adaptation of the principles and advantages of collective learning methods (according to V. …”
Get full text

Association between metal mixture in urine and abnormal blood pressure and mediated effect of oxidative stress based on BKMR and Machine learning method by Junjie Chen, Hao Zeng, Zhanglei Pan, Miao Li, Qingfeng Zhou, Kaichen Chen, Yulan Hao, Xiangke Cao, Lei Zhang, Qian Wang

Get full text

Navigating Open Distance Learning for Academic Success: Resilience Amongst Students with Disabilities by Sharonrose Sefora, Sindile Amina Ngubane

Get full text

Identifying risk factors for depression and positive/negative mood changes in college students using machine learning by Qi Qiang, Jinsheng Hu, Xianke Chen, Weihua Guo, Qingshuo Yang, Zhijun Wang, Zhihong Liu, Ya Zhang, Qi Li

“…BackgroundIn this study, machine learning was used to assess the prediction of the magnitude of depression changes in college students based on various psychological variable information.MethodsA group of college students from a certain school completed two assessments in October 2021 and March 2022, respectively. …”
Get full text

Student-Doctor Method for Clinical Training Among Phase III Part II MBBS Students by Moneesha Srinivasan, Manohari Ramachandran, Amudhaganesh Selvaraj, Jeevithan Shanmugam

“…Introduction: The Student–Doctor method, recommended by the National Medical Commission (NMC) under the Competency-Based Medical Education (CBME) curriculum, aims to bridge the gap between theoretical learning and practical clinical exposure. …”
Get full text