A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…To overcome these limitations, hybrid structures that integrate multiple techniques have emerged as effective computational methods, offering superior performance and efficiency compared to single-method solutions. …”
Get full text

Quality of Life Profile, Overweight-Obesity and Sedentary Behavior in Elementary and High School Children of Guanacaste by Pedro Ureña-Bonilla, Felipe Araya-Ramírez, Braulio Sánchez-Ureña, Jorge Salas-Cabrera, Luis Alberto Blanco-Romero

“…The participants completed a protocol by which they were anthropometrically evaluated, and also filled up a questionnaire related to sedentary behavior and quality of life. …”
Get full text

An Energy–Momentum Conserving Algorithm for Co-Rotational Quadrilateral Shell Elements in Nonlinear Multibody Dynamics by Zhongxue Li, Hongtao Qian

“…A new computational framework for nonlinear dynamic analysis of smooth shell structures is presented in this paper. …”
Get full text

Spatial Numerical Simulation of Locally Corroded Steel Plate Girder with Various End Panels by Nauman Khurram, Usman Akmal, Fatima Azhar, Abdelatif Salmi, Asif Hameed, Hiroshi Tamura, Abdullah Mohamed

“…The numerical analysis was performed on a computer package ABAQUS, using modified Riks analysis. …”
Get full text

Angle-aware coverage with camera rotational motion control by Zhiyuan Lu, Muhammad Hanif, Takumi Shimizu, Takeshi Hatanaka

“…Subsequently, we present a novel problem formulation, including a new performance function to evaluate the drone positions and camera orientations. …”
Get full text

Simplified Deep Learning for Accessible Fruit Quality Assessment in Small Agricultural Operations by Víctor Zárate, Danilo Cáceres Hernández

“…The performance of these models was evaluated using a subset of the Fruits-360 dataset chosen to simulate real-world conditions for small-scale producers. …”
Get full text

Error estimates for perturbed Milne-type inequalities by twice-differentiable functions using conformable fractional integrals by Esra Üneş, İzzettin Demir

“…Abstract Milne’s inequality provides an upper bound for the error in definite integral approximations using Milne’s rule, making it a useful tool for evaluating the rule’s precision. For this reason, this inequality is widely applied in engineering, physics, and applied mathematics. …”
Get full text

Optimising 3D-printed carbon fibre composites using machine learning: Balancing strength and efficiency by José Humberto S. Almeida, Jr., Guilherme Ferreira Gomes

“…Among the seven ML models evaluated, artificial neural networks (ANNs) achieved the highest predictive accuracy (9.2% for strength, 14.7% for time). …”
Get full text

Sustainability indicators in high entropy alloy design: an economic, environmental, and societal database by Stéphane Gorsse, Théo Langlois, An-Chou Yeh, Matthew R. Barnett

“…The Python package, AlloySustainability, streamlines indicator computation and enables users to benchmark alloys against a database encompassing 340 HEAs and over 240 conventional steels and Ni-based superalloys. …”
Get full text

Application of Transformer Models for Classification of Chest X-rays by Enoel Arrokho Ernandes

“…This article evaluates the quality of models of visual transformers for solving the problem of classification of chest X-rays. …”
Get full text

A Comparison of Hyperelastic Warping of PET Images with Tagged MRI for the Analysis of Cardiac Deformation by Alexander I. Veress, Gregory Klein, Grant T. Gullberg

“…Coefficient of determination R2 values were computed for the comparison of circumferential and radial strain predictions produced by each methodology. …”
Get full text

Do Calibrated Recommendations Affect Explanations? A Study on Post-Hoc Adjustments by Paul Dany Flores Atauchi, André Levi Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato

Get full text

Integrated Analysis of Permeability Reduction Caused by Polymer Retention for Better Understanding Polymer Transport by ByungIn Choi, Jinsuk Choi, Kun Sang Lee

Get full text

Integrating expert knowledge with machine learning for AI-based stroke identifications and treatment systems by Taddesse kassu Yimenu, Abebe Belay Adege, Sofonias Yitagesu Techan

Get full text

Enhancing Hazard Detection and Risk Severity Assessment in Construction through Multinomial Naive Bayes and Regression by Akaninyene Michael Akwaisua, Anietie Ekong, Godwin Ansa

Get full text

Biodegradation of plasticizers by novel strains of bacteria isolated from plastic waste near Juhu Beach, Mumbai, India by Khushboo Sharma, Anuraj Nayarisseri, Sanjeev Kumar Singh

Get full text

Multi-dimensional research impact assessment through bibliometrics, altmetrics, semantometrics, and webometrics by Ahmed Al Marouf, Tanvir C Turin

Get full text

Deep learning-assisted screening and diagnosis of scoliosis: segmentation of bare-back images via an attention-enhanced convolutional neural network by Xingyu Duan, Xiaojun Ma, Mengqi Zhu, Linan Wang, Dingqi You, Lili Deng, Ningkui Niu

“…The performance of the model was evaluated in the test set. After automatic segmentation of the back contour, a back asymmetry index was calculated via computer vision algorithms to classify scoliosis into different severities. …”
Get full text

Biomechanical comparison of the non-locking bone plate, locking bone plate, and double-rod clamp internal fixation in a canine femoral model by Rutjathorn Maneewan, Nattapon Chantarapanich, Takuma Morimoto, Chaiyakorn Thitiyanaporn

“…Materials and Methods: A computed tomography-based canine femur model was created to simulate a midshaft commin-uted fracture with a 20 mm gap. …”
Get full text

The inhibitory effects of 7ND protein on osteoclast differentiation in apical periodontitis by Zhang-Zhang Ji, Xiu-Min Xu, Yu-Lin Lu, Run-Zhen Zhang, Ying Zhang, Zhi-Hui Zou, Qi Xu

“…The impact of 7ND protein on osteoclast formation was evaluated both in vitro (using RAW264.7 cells) and in vivo (in AP rats). …”
Get full text