Semantic-to-Instance Segmentation of Time-Invariant Offshore Wind Farms Using Sentinel-1 Time Series and Time-Shift Augmentation by Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Olino de Albuquerque, Daniel Guerreiro e Silva

Get full text

CFD-Based Optimization of an Axial Impulse Turbine for a Twin-Turbine Topology of an OWC Wave Energy Converter by Hosam M.Abdulhasieb, Aitor Vega-Valladares, Manuel García-Díaz, Bruno Pereiras, José González Pérez

“…Furthermore, an unsteady performance evaluation revealed a 12% increase in the turbine’s peak efficiency and a 2% improvement in blocking efficiency compared to the initial design.…”
Get full text

Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery by César Luis Moreno González, Germán A. Montoya, Carlos Lozano Garzón

“…Additionally, we conduct a systematic evaluation of optimization strategies, comparing SGD with momentum, RMSProp, Adam, AdaMax, NAdam, and AdamW. …”
Get full text

Diagnostic significance of myocardial perfusion scintigraphy in identification and localization of culprit lesions in patients undergoing elective PTCA by Baškot Branislav, Janković Zoran, Obradović Slobodan, Rusović Siniša, Orozović Vjekoslav, Gligić Branko, Jung Robert, Ivanović Vladimir, Pavlović Miodrag, Ratković Nenad

Get full text

Advancing precision agriculture: A comparative analysis of YOLOv8 for multi-class weed detection in cotton cultivation by Ameer Tamoor Khan, Signe Marie Jensen, Abdul Rehman Khan

Get full text

Integrating PCA and DEA techniques for strategic assessment of network security by Reza Rasinojehdehi, Seyyed Najafi

“…This paper introduces a novel approach to evaluating computer network security using Data Envelopment Analysis (DEA), a mathematical method designed to measure the performance of Decision-Making Units (DMUs) employing identical inputs to yield identical outputs. …”
Get full text

Use of Three-Dimensional Surface Imaging to Measure Breast Volume in the Upright Position With Acceptable Accuracy by Hironori Goto, Satsuki Fukumoto, Yukiko Hara, Keiichiro Tada

“…Materials and Methods: First, the accuracy of 3DSI measurements was evaluated using plastic models with known breast volumes. …”
Get full text

Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

Get full text

Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study by Elnaz Azmi, Khadijeh Alibabaei, Valentin Kozlov, Tjerk Krijger, Gabriele Accarino, Sakina-Dorothée Ayata, Amanda Calatrava, Marco Mariano De Carlo, Wout Decrop, Donatello Elia, Sandro Luigi Fiore, Marco Francescangeli, Jean-Olivier Irisson, Rune Lagaisse, Martin Laviale, Antoine Lebeaud, Carolin Leluschko, Enoc Martínez, Germán Moltó, Igor Ruiz Atake, Antonio Augusto Sepp Neves, Damian Smyth, Jesús Soriano-González, Muhammad Arabi Tayyab, Vanessa Tosello, Álvaro López García, Dick Schaap, Gergely Sipos

“…It also provides robust performance evaluation tools, including experiment tracking, while tackling challenges such as AI model drift and data biases to ensure research reproducibility and transparency. …”
Get full text

The impact of cross-validation choices on pBCI classification metrics: lessons for transparent reporting by Felix Schroeder, Stephen Fairclough, Frederic Dehais, Matthew Richins

“…A comparison of cross-validation schemes in which train and test subset boundaries either respect the block-structure of the data collection or not, illustrated how the relative performance of classifiers varies significantly with the evaluation method used. By computing bootstrapped 95% confidence intervals of differences across datasets, we showed that classification accuracies of Riemannian minimum distance (RMDM) classifiers may differ by up to 12.7% while those of a Filter Bank Common Spatial Pattern (FBCSP) based linear discriminant analysis (LDA) may differ by up to 30.4%. …”
Get full text

Simulation of Photovoltaic Power System for Rural Electrification in Myanmar by A. V. Bobyl, G. A. Konoplev, H. H. Lin, A. F. Erk

“…(Materials and methods) Computer simulation using Homer pro simulation software was used. …”
Get full text

Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection by Md. Rashadur Rahman, Rezaul Karim, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Gahangir Hossain, Tetsuya Shimamura

Get full text

Automatic Sugarcane Disease Detection and Outbreak Alert System using Deep Learning by Munaf Rashid, Zuha Khan, Saeed Usmani, Asadullah Maliyawala, Kashif Iqbal

“…The research presents a comprehensive evaluation of the ASCD-OAS, demonstrating its effectiveness. …”
Get full text

Digital image processing as a component to assess primary root emergence from soybean seeds by Gloria de Freitas Rocha Ribeiro, Abimael dos Santos Carmo-Filho, Rafael Mateus Alves, Julio Marcos-Filho, Francisco Guilhien Gomes-Junior

“…Furthermore, the use of computational resources to identify the RE can be very useful for refining the information provided. …”
Get full text

Successfully cured a rare case of esophageal squamous cell carcinoma combined with hepato-gastric schwannoma using robot-assisted surgery: case report by Qun-Xian Zhang, Qiang Guo, Hua Liu, Jun Zhou, Jia-Long Guo, Jun Zhang

“…An enhanced upper abdominal computed tomography (CT) scan showed a 3.3 × 2.6 cm mass in the hepatogastric space, accompanied by mildly enlarged lymph nodes—the largest measuring 0.8 cm—which suggested possible metastasis. …”
Get full text

Inquiry based learning in software engineering education: exploring students’ multiple inquiry levels in a programming course by Sohaib Ahmed, Syed Ahmed Hassan Bukhari, Adnan Ahmad, Osama Rehman, Faizan Ahmad, Kamran Ahsan, Tze Wei Liew

“…Both these applications were evaluated through Micro and Meso levels of the M3 evaluation framework. …”
Get full text

Pre-Clinical Models of Penetrating Brain Injury: Study Protocol for a Scoping Review by Cindy K. Wong, Jennifer E. Dinalo, Patrick D. Lyden, Gene Sung, Roy A. Poblete

“…This scoping review aims to systematically evaluate existing pre-clinical models, including animal, computational, ballistic, and hybrid simulations, to assess their methodological rigor, translational applicability and reported outcome measures. …”
Get full text

Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield by Danial Shamsuddin, Monica F. Danilevicz, Hawlader A. Al-Mamun, Mohammed Bennamoun, David Edwards

Get full text

Maxillary sinus pathologies in dental implant candidates: CBCT-based prevalence and odontogenic risk factors by Sercan Küçükkurt

“…These findings underscore the importance of thorough preoperative radiographic evaluation to optimize implant planning and reduce complications. …”
Get full text

Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification by Mohammed Hussain, Thaer Thaher, Mohamed Basel Almourad, Majdi Mafarja

Get full text