Validation of a Self-Discipline Questionnaire for Athletes by Trisnar Adi Prabowo, Mar’atul Afifah, Asyidika Vito Indarto, Febriansyah Dwi Cahyo, Achmad Zakaria

“…Additionally, the anti-image correlation, communalities, and rotated component matrix revealed factor loadings above 0.50 for all 18 indicator items. …”
Get full text

A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…This work bridges signal processing and geospatial analysis, offering a reproducible framework for high-precision terrain feature extraction in complex environments.…”
Get full text

FORECASTING OF AIRCRAFT USING THE METHODS OF FORESIGHT: FOREIGN EXPERIENCE by N. P. Velikanova, O. I. Karasev, A. A. Polozov-Yablonsky

“…The objectives, scope, topics and level of detail of these projects are defined. Comparative analysis of foresight studies of the EU, Canada, France, USA, Australia, Japan, Korea, India and Russia allows to create a collective "Image of the Future" of the global aircraft industry, reflecting the wide range of customers needs and expectations.In the twenty-first century foresight became an instrument of public policy building in developed countries. …”
Get full text

Early-Stage Sensor Data Fusion Pipeline Exploration Framework for Agriculture and Animal Welfare by Devon Martin, David L. Roberts, Alper Bozkurt

“…As an example, we observed that early feature extraction reduced time and space complexity in agrarian data. Additionally, independent component analysis outperformed principal component analysis slightly in a sweet potato imaging dataset. …”
Get full text

AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery by Ahmad Almadhor, Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Robertas Damaševičius, Bader Alouffi, Abdullah Alharbi

“…Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers’ improper use of pesticides. …”
Get full text

Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

“…Product detection through images is a complex task in the domain of CV. This can be obtained the improving consideration because of the excellent application viewpoint like visually impaired assistance, stock tracking, automatic checkout, and planogram compliance. …”
Get full text

A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases by Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim

“…The model is trained using transfer learning with specific adjustments to minimize detection errors and is fine-tuned using a tomato leaf disease image dataset extracted from Plant Village. This feature integration and data analysis scheme are then deployed to provide a tomato leaf disease detection Android app. …”
Get full text

SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…Overcoming noise in SEM images traditionally involves the use of various filters, such as the Wiener filter and Gaussian filter, but these methods are often limited in efficiency when handling complex noise patterns, and they can be time-consuming. …”
Get full text

Bio-waste to environmental purifier: Application of potato peel for acid red 73 adsorption from leather dyeing effluent by Fatema-Tuj Zohra, Sobur Ahmed, Md Zahangir Alam, Md Nurnabi, Nazia Rahman

“…Wide and frail peaks in the XRD image indicated existence of amorphous carbon. BET analysis exhibited mesoporous structure of PP with average pore diameter of 85.98 Å. …”
Get full text

Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition by A. Pohle, K. Stevens, R. Hoffmann, A. Immenhauser, A. Immenhauser

“…While <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">Mn</mi><mo>/</mo><mi mathvariant="normal">Ca</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="37pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="be122be4a3876d20c305c3b22817280b"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-22-3073-2025-ie00002.svg" width="37pt" height="14pt" src="bg-22-3073-2025-ie00002.png"/></svg:svg></span></span> and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">Fe</mi><mo>/</mo><mi mathvariant="normal">Ca</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="35pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="354d9cc220c3ec522cee090037f4858b"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-22-3073-2025-ie00003.svg" width="35pt" height="14pt" src="bg-22-3073-2025-ie00003.png"/></svg:svg></span></span> appear to be taxon-independent and probably mainly reflect environmental and diagenetic effects, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">Mg</mi><mo>/</mo><mi mathvariant="normal">Ca</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="37pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="bda123048c697326946a54d2f5b8ecc8"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-22-3073-2025-ie00004.svg" width="37pt" height="14pt" src="bg-22-3073-2025-ie00004.png"/></svg:svg></span></span> and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">Sr</mi><mo>/</mo><mi mathvariant="normal">Ca</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="33pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="b9671c4809874f370bab27d3c7829fa1"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-22-3073-2025-ie00005.svg" width="33pt" height="14pt" src="bg-22-3073-2025-ie00005.png"/></svg:svg></span></span> display stronger taxon-specific patterns, even though their interpretation remains complex. …”
Get full text

Identifying Novel Emotions and Wellbeing of Horses from Videos Through Unsupervised Learning by Aarya Bhave, Emily Kieson, Alina Hafner, Peter A. Gloor

“…Our method allows the encoder network to learn similarities and differences within image groups on its own without labels. The clusters thus formed are indicative of deeper nuances and complexities within a horse’s mood, which can possibly hint towards the existence of novel and complex equine emotions.…”
Get full text

A Comparative Study of Deep Learning-Based Models for Object Detection in Remote Sensing Imagery by A. V. Coulson, W. H. Thomas, C. Wang

“…However, the distinctive characteristics of remote sensing images, including large directional variations, scale differences, and complex and cluttered backgrounds, pose considerable challenges for accurate target detection. …”
Get full text

Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning by Muhammad Sohaib, Muzamal Arif, Jong-Myon Kim

“…This work introduces a comprehensive analysis of various YOLO models for detecting cracks in concrete structures, aiming to assist in the selection of an optimal model for future detection and segmentation tasks. …”
Get full text

Hadamard Layer for Improve Semantic Segmentation by Angello Hoyos, Mariano Rivera

“…Semantic segmentation is crucial in image analysis but remains challenging due to performance and robustness issues. …”
Get full text

3D Morphology Distribution Characteristics and Discrete Element Simulation of Sand-Gravel Mixtures by Wu Qi, Sun Suyu, Gao Guangliang, Fang Yi, Chen Guoxing

“…This article focused on the complex internal structure and its mesostructural behavior of the mixtures, and a systematic statistical analysis was carried out to study the shape, size, and angularity of the coarse particles. …”
Get full text

Tunnel Crack Segmentation Algorithm Based on Feature Enhancement by Lihua Feng, Aijun Yao, An Huang

“…Tunnel cracks, as one of the early indicators of tunnel damage, have a significant impact on the safe operation of tunnels. However, due to the complex lighting conditions, background noise, and diverse nature of cracks inside tunnels, traditional image segmentation algorithms often struggle to achieve sufficient accuracy in crack segmentation tasks. …”
Get full text

Video Stabilization: A Comprehensive Survey from Classical Mechanics to Deep Learning Paradigms by Qian Xu, Qian Huang, Chuanxu Jiang, Xin Li, Yiming Wang

“…Subsequently, it elucidates conventional digital stabilization frameworks and their deep learning counterparts along with establishing standardized assessment metrics and benchmark datasets for comparative analysis. Finally, this review addresses critical challenges such as robustness limitations in complex motion scenarios and latency constraints in real-time processing. …”
Get full text

Effective Ductile Fracture Characterization of 17-4PH and Ti6Al4V by Shear–Tension Tests: Experiments and Damage Models Calibration by Gabriele Cortis, Luca Cortese

“…Two different shear–tension candidate geometries are identified, modified, and used together with cylindrical and notched bar specimens to evaluate material plastic strain at fracture under several stress states, characterized by different triaxialities and Lode angles. Finite element analysis and digital image correlation techniques are used to identify local data not directly measured from the tests. …”
Get full text

Panoramic Assessment Method of Substation Equipment Health Status Based on Multisource Monitoring and Deep Convolution Neural Network under Edge Computing Architecture by Zhu-xing Ma, Li-shuo Zhang, Hao Gu, Zi-zhong Xin, Zhe Kang, Zhao-lei Wang

“…In view of the low efficiency of the traditional manual evaluation method of substation equipment status under the background of complex environment, a panoramic evaluation method of substation equipment health status based on multisource monitoring and deep convolution neural network under edge computing architecture is proposed. …”
Get full text

Coexistence of attractors in four-dimensional chaotic system with a wide range of parameters by YAN Minxiu, ZHU Junyang

“…An newly-developed four-dimensional chaotic system is proposed to address the complex chaotic systems required for image encryption and secure communication. …”
Get full text