You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

“…To validate the developed method, its performance was evaluated on 25 different cattle. In total, 22 out of 25 were correctly identified, resulting in an overall accuracy of 88%.…”
Get full text

Reliability Analysis of High-Pressure Tunnel System Under Multiple Failure Modes Based on Improved Sparrow Search Algorithm–Kriging–Monte Carlo Simulation Method by Yingdong Wang, Chen Xing, Leihua Yao

“…In addition, the same random variable also exhibits varying degrees of influence in different failure modes.…”
Get full text

Optimization and characterization of wood decay mushroom Ganoderma adspersum extract: A comparison between response surface methodology and artificial neural network-ant lion algor... by Ayşenur Gürgen

“…The extraction conditions were designed according to the I-optimal design and optimized using both the response surface method and the integration of artificial neural networks–ant lion algorithm. In the third step of the study, the bioactive properties of the two estimated extraction conditions and the extraction condition providing the highest total antioxidant status value obtained from the experimental studies were evaluated. …”
Get full text

Personalized Beauty: How Clinical Insights Shape Tailored Aesthetic Treatments by Sara Campanella, Lorenzo Palma

“…Clustering methods were used to analyse the results, identify trends and evaluate the efficacy. Additionally, we developed a novel algorithm that tailors cosmetic treatment regimens according to the unique physiological characteristics of each patient. …”
Get full text

AdaLine: Adaptive Counting Line Optimization by Perspective-Aware Trajectory Modeling in Object-Detection-Tracking Systems by Wenhao Huang, Yin Chen, Jin Nakazawa, Tadashi Okoshi

“…AdaLine adapts automatically as the scene evolves by clustering incoming trajectories with K-means, selecting the most stable line candidate, and smoothing it with an exponential moving average. Experimental evaluations across different scenarios and camera settings show that AdaLine achieves better performance in terms of accuracy, stability, and applicability. …”
Get full text

A multi-attribute group decision-making algorithm based on soft intervals that considers the priority rankings of group members on attributes of objects, along with some applicatio... by Gözde Yaylalı Umul

“…In this study, soft intervals were generated from the orderings on a soft set which were based on the users rankings of object attributes. The first algorithm enabled us to obtain the choice object based on the ranking of decision makers with equal influence on the decision, while the second algorithm achieved this for rankings of those with different influences. …”
Get full text

A Pipeline for Multivariate Time Series Forecasting of Gas Consumption in Pelletization Process by Thadeu Pezzin Melo, Jefferson Andrade, Karin Satie Komati

“…These findings confirm the generalization capability of the pipeline, demonstrating its applicability across different industrial environments. …”
Get full text

Multiple-Input Multiple-Output Synthetic Aperture Radar Waveform and Filter Design in the Presence of Uncertain Interference Environment by Ke Xu, Guohao Sun, Yuandong Ji, Zhiquan Ding, Wenhao Chen

“…Based on the alternating direction method of multipliers (ADMM) framework, a novel joint design algorithm of waveform and filter is proposed. In order to improve the convergence performance of ADMM, the difference in convex functions (DC) programming is applied to the ADMM iterations framework to solve the problem of waveform energy inequality constraint. …”
Get full text

Deep representation learning using layer-wise VICReg losses by Joy Datta, Rawhatur Rabbi, Puja Saha, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

Get full text

Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

Get full text

Characteristic genes and immune infiltration analysis of gastric cancer based on bioinformatics analysis and machine learning by Chengwei Xia, Yini Liu, Xin Qing

“…Next, after applying the three algorithms (LASSO, RandomForest, and SVM-RFE) to analyze these overlapping genes and take the intersection, we established a GC diagnosis. …”
Get full text

A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates by Son K. Do, Thanh-Nhan-Duc Tran, Manh-Hung Le, Manh-Hung Le, John Bolten, Venkataraman Lakshmi

“…In this study, we evaluated whether SM2RAIN algorithm and rain gauges, which are more abundant and readily available than in situ SM, can be used to validate satellite-based SMAP SM estimates. …”
Get full text

Diagnosis of Pain Deception Using Minnesota Multiphasic Personality Inventory-2 Based on XGBoost Machine Learning Algorithm: A Single-Blinded Randomized Controlled Trial by Hyewon Chung, Kihwan Nam, Subin Lee, Ami Woo, Joongbaek Kim, Eunhye Park, Hosik Moon

“…For analyzing the MMPI-2, the XGBoost ML algorithm was applied. <i>Results</i>: Of a total of 96 participants, 50 and 46 were assigned to the ND group and the D group, respectively. …”
Get full text

Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm by Xiang Wu, Zhen Yang, Dongdong Wu

“…We further introduced the criteria of accuracy, precision, recall, and F2-score to evaluate the prediction results of different models. …”
Get full text

Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study by Florian Roth, Mark Edwin Tupas, Claudio Navacchi, Jie Zhao, Wolfgang Wagner, Bernhard Bauer-Marschallinger

Get full text

Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…We also show experimental evaluations of hit rate variations by Jensen–Shannon Divergence on different parameter settings of cache capacity and user preference distortion limit, which can be used as a reference for appropriate parameter settings to balance user preferences and cache hit rate for Internet content delivery.…”
Get full text

Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study by Mariz Kasoha, Panagiotis Sklavounos, Istvan Molnar, Meletios P. Nigdelis, Bashar Haj Hamoud, Erich-Franz Solomayer, Gilbert Georg Klamminger

Get full text

Multi-objective optimization of urban block configuration to enhance outdoor thermal comfort: A case study of district 12, Tehran by Mozhgan Mousaeipour, Haniyeh Sanaieian, Mohsen Faizi, Ainaz Alafchi, S. M. Amin Hosseini

“…To further evaluate the impact of different layouts on thermal comfort indices and microclimatic conditions, the best and worst scenarios were compared using ENVI-met software. …”
Get full text

Differential evolution-optimized gold nanorods for enhanced photothermal conversion by Aimad Koulali, Piotr Radomski, Paweł Ziółkowski, Francesca Petronella, Luciano De Sio, Dariusz Mikielewicz

“…Utilizing the Differential Evolution (DE) algorithm, a robust metaheuristic optimization approach, we calculated the optimal size and shape of AuNRs for selected wavelengths. …”
Get full text

Trade-off between cost and performance of earth observation data in olive trees health assessment: Digital crop mapping approach using machine learning algorithms by Yassine Bouslihim, Abdelkrim Bouasria, Aicha Rochdi, El Bachir El Haissen, Dénes Loczy, Zoltan Orban, Ali Salem

“…This study evaluates the efficacy and cost-effectiveness of different Earth Observation (EO) products for assessing olive trees’ health in a 6.2 ha orchard. …”
Get full text