Application and evaluation of virtual simulation technology in ‘corneal contact lens’ education by Li Li, Kunhong Xiao, Huazhi Ma, Jiawen Lin, Shenghua Lin, Xiangjie Lin, Jingting Wei, Qingyuan Cai, Yan Huang

Get full text

Study on the Hole Collapse and High-Temperature Zone Formation of Explosive with Cavity Under Impact by Shuai LI, Baoqing MENG, Baolin TIAN, Wenjun SUN

Get full text

Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of Lymphoma by Noriaki Hashimoto, Hiroyuki Hanada, Hiroaki Miyoshi, Miharu Nagaishi, Kensaku Sato, Hidekata Hontani, Koichi Ohshima, Ichiro Takeuchi

Get full text

Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: A systematic review on measurement properties by Leonard TF Ho, Vincent CH Chung, Charlene HL Wong, Irene XY Wu, Kun Chan Lan, Darong Wu, Jerry WF Yeung, Nevin L Zhang, Ting Hung Leung, Justin CY Wu

Get full text

Characterizing the Design of and Emerging Evidence for Health Care Organization–Based Lung Cancer Screening Interventions: A Systematic Review by Jennifer Elston Lafata, Katharine A. Rendle, Jocelyn V. Wainwright, Mary E. Cooley, Anil Vachani, Christine Neslund-Dudas, Michelle R. Odelberg, Liana Alcaro, Claire Staresinic, Gwen L. Alexander, Rebecca B. Carlson, Marilyn M. Schapira

“…We used a title/abstract review process, full-text review, and risk-of-bias assessments. …”
Get full text

Engaging Learning Experience: Enhancing Productivity Software Lessons with Screencast Videos by Usha Vellappan, Liyen Lim, Lim Su Yin

“…The use of screencast videos can improve the effectiveness of the teaching and learning process, whether it is face-to-face or online. Screencast videos are digital resources that capture the computer screen and create an audio-visual experience, and they can be shared online to aid the learning process. …”
Get full text

Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…IntroductionFriction Stir Welding (FSW) is a critical industrial process in which a rotating tool generates heat through friction, enabling the solid-state joining of materials. …”
Get full text

Vibration Optimization of Fiber-Metal Laminated Composite Shallow Shell Panels Using an Adaptive PSO Algorithm by Hadi Ghashochi-Bargh, Mohammad Homayoun Sadr

“…To improve the speed of the optimization process, adaptive inertia weight was used in the particle swarm optimization algorithm to modify the search process. …”
Get full text

The ab-initio aided strain gradient elasticity theory: a new concept for fracture nanomechanics by Tom� Profant, Jaroslav Pokluda

“…When the width of cracked nanocomponents made of brittle or quasi-brittle materials is less than approximately , the size of the - dominance zone becomes smaller than and comparable to the fracture process zone ( ). The fracture process starts to be dominated by far-stress field terms and the critical stress intensity factor can no more represent the total fracture driving force. …”
Get full text

Malware Detection in Forensic Memory Dumps: The Use of Deep Meta-Learning Models by Yalçın Özkan

“…First, it was subjected to the classification process with a deep learning algorithm, and a predictive model was acquired. …”
Get full text

RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…Four datasets were selected for training, and a Snake Optimizer (SO) algorithm-optimized Bigru-Attention model was proposed to construct a comprehensive and efficient prediction model, aiming to enhance the reliability, sustainability, and cost-effectiveness of the power system. The research process includes data preprocessing, model training, and model evaluation. …”
Get full text

MODIFIED WEIGHT MATRIX USING PRIM’S ALGORITHM IN MINIMUM SPANNING TREE (MST) APROACH FOR GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Fransiskus Fran, Yundari Yundari, Lisa Fikadila, Fauziah Safitri

“…Afterwards, the graph is described utilizing weight matrix, which is applied to the normalization process. Following this, the GSTAR(1;1) modelling process is carried out, beginning with estimating the parameters and then forecasting. …”
Get full text

A Low Complexity Algorithm for 3D-HEVC Depth Map Intra Coding Based on MAD and ResNet by Erlin Tian, Jiabao Zhang, Qiuwen Zhang

“…In intra coding, quadtree partitioning is determined recursively through rate-distortion cost calculations. This process demands extensive computational resources and results in high encoding complexity. …”
Get full text

Design of 3D Scanning Technology Using a Method with No External Reference Elements and Without Repositioning of the Device Relative to the Object by Adrián Vodilka, Marek Kočiško, Martin Pollák, Jakub Kaščak, Jozef Török

Get full text

Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing by Kechen Zheng, Jiahong Wang, Anping Chen, Wendi Sun, Xiaoying Liu, Jia Liu

Get full text

Coupling Secret Sharing with Decentralized Server-Aided Encryption in Encrypted Deduplication by Chuang Gan, Weichun Wang, Yuchong Hu, Xin Zhao, Shi Dun, Qixiang Xiao, Wei Wang, Huadong Huang

Get full text

Improving with Hybrid Feature Selection in Software Defect Prediction by Muhammad Yoga Adha Pratama, Rudy Herteno, Mohammad Reza Faisal, Radityo Adi Nugroho, Friska Abadi

Get full text

Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection by Xiuhao Liang, Jun Xiang, Sheng Qin, Yundan Xiao, Lifen Chen, Dongxia Zou, Honglun Ma, Dong Huang, Yongxin Huang, Wei Wei

Get full text

THERMAL MODEL OF ENERGY EFFICIENT BUILDING by E. V. Kresova, S. P. Kundas

“…The model includes constructive, finite element, analytical and computational models which are created using SolidWorks software (constructive model) and COMSOL Multiphysics software (finite element, analytical and computational models). …”
Get full text

Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

Get full text