Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization by C. Jaspin Jeba Sheela, G. Suganthi

“…The automatic brain tumor segmentation in MRI (Magnetic Resonance Images) is becoming a challenging task in the field of medicine, since the brain tumor occurs in different shapes, intensities and sizes. This paper proposes an efficient automatic brain tumor segmentation using Greedy Snake Model and Fuzzy C-Means optimization. …”
Get full text

A Practical Method for Timetable Rescheduling in Subway Networks during the End-of-Service Period by Wenkai Xu, Peng Zhao, Liqiao Ning

“…This study proposes a biobjective optimization method for timetable rescheduling during the end-of-service period of a subway network, taking all stakeholders’ interests into consideration. …”
Get full text

Print quality optimization in screen printing by AM and FM screening using Taguchi's Grey Relational Analysis technique by Soumen Basak, Saritha P.C, Kanai Chandra Paul

Get full text

Research on visual positioning method of roadheader based on infrared LED line-type target by Jicheng WAN, Xuhui ZHANG, Wenjuan YANG, Chao ZHANG, Mengyu LEI, Yuyang DU, Zheng DONG, Junhao YANG

“…The influence of different factors on positioning accuracy is analyzed by numerical simulation, and the optimal target size and error distribution at different distances are determined. …”
Get full text

Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations by Jihong Sun, Peng Tian, Zhaowen Li, Xinrui Wang, Haokai Zhang, Jiangquan Chen, Ye Qian

“…Subsequently, the top three models with the best performance in individual model predictions are integrated using voting and stacking ensemble methods to obtain the optimal integrated model. Finally, the impact of different rice phenotypic traits on the performance of the stacked ensemble model is explored. …”
Get full text

A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning by Jens Engel, Andrea Castellani, Patricia Wollstadt, Felix Lanfermann, Thomas Schmitt, Sebastian Schmitt, Lydia Fischer, Steffen Limmer, David Luttropp, Florian Jomrich, René Unger, Tobias Rodemann

“…The dataset enables the application of a wide range of methods in the domain of energy management, including optimization, modeling, and machine learning to optimize building operations and reduce costs and carbon emissions.…”
Get full text

Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis by Süleyman Burçin Şüyun, Mustafa Yurdakul, Şakir Taşdemir, Serkan Biliş

“…The HHO algorithm increased the classification accuracy to 94.66%, enhancing the model’s generalization ability and reducing misclassifications. The proposed method provides superior accuracy in the diagnosis of HR at different severity levels compared to single-model CNN approaches. …”
Get full text

SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

Get full text

An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…The F-measure of the proposed method is 9.06%, 6.63%, 4.80%, and 2.61% improved than other existing comparative methods.…”
Get full text

State of Health Prediction for Lithium-Ion Batteries Based on Gated Temporal Network Assisted by Improved Grasshopper Optimization by Xiankun Wei, Silun Peng, Mingli Mo

“…However, novel algorithms are still needed because few studies have considered the correlations between monitored parameters in Euclidean space and non-Euclidean space at different time points. To address this challenge, a novel gated-temporal network assisted by improved grasshopper optimization (IGOA-GGNN-TCN) is developed. …”
Get full text

SADASNet: A Selective and Adaptive Deep Architecture Search Network with Hyperparameter Optimization for Robust Skin Cancer Classification by Günay İlker, İnik Özkan

“…This method, designated as the SADASNet (Selective and Adaptive Deep Architecture Search Network by Hyperparameter Optimization) algorithm, is developed based on the Particle Swarm Optimization (PSO) technique. …”
Get full text

Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques by Mohammed Tareq Mutar, Jaffar Nouri Alalsaidissa, Mustafa Majid Hameed, Ali Almothaffar

Get full text

Multi-scenario Dynamic Simulation and Optimization of Urban Ventilation Environment: A Case Study of Taiyuan Metropolitan Area by Junda HUANG, Yuncai WANG

“…Although many international scholars have researched the optimization of urban ventilation, the existing research in China mainly focuses on the measurement of the current urban ventilation environment, while neglecting the long-term dynamic changes of the urban ventilation environment in response to different planning objectives in the process of urban development.MethodsThis research proposes a research framework generally applicable to the simulation of future changes in ventilation environment within city – region systems for the first time. …”
Get full text

Optimizing aortic arch branch cannulation in acute type A dissection surgery: a minimally invasive approach by Lin Xia, Ying Lyu, Xiong Xiao, Zhonglu Yang, Yuguang Ge, Bin Wang, Yu Liu, Hui Jiang

“…This study aimed to compare the feasibility and safety of different aortic arch branch cannulation techniques using a single upper hemisternotomy.MethodsA retrospective analysis was performed on 207 patients with ATAAD who underwent total arch replacement combined with frozen elephant trunk techniques between December 2019 and July 2023. …”
Get full text

Optimizing Screening Performance for the Risk of Hyperoxaluria and Urolithiasis Using the Urinary Oxalate/Creatinine Ratio: A Retrospective Analysis by Pierre Letourneau, Lara Cabezas, Aurélie De Mul, Nadia Abid, Christelle Machon, Cécile Poussineau, Cécile Acquaviva, Justine Bacchetta, Laurence Derain-Dubourg, Sandrine Lemoine

“…However, implementation of systematic 24-h urine collection is challenging, so there is a need for alternative screening methods. Methods: Using retrospective data from patients evaluated for the risk of urolithiasis, we assessed different thresholds for the urinary oxalate/creatinine (UOx/Creat) ratio to optimize the screening performance for hyperoxaluria diagnosis and urolithiasis risk using lithogenic risk surrogates. …”
Get full text

TO PROBLEMS OF PUBLIC ADMINISTRATION by A. M. Gogolev

“…It is concluded that the integrated use of different methods and approaches contributes to the establishment and generalization of specific features of the legal institution and solving problems of its legal regulation at the federal and regional levels.…”
Get full text

The mechanism of checks and balances as a method of constitutional conflicts solving: comparative law issues by I. Tretyak

“…The paper is devoted to legal analysis of category “checks and balances” in the scope of constitutional legal coercion.The purpose of the paper is to confirm or disprove hypothesis that mechanism of checks and balances is a method of prevention and resolution of constitutional conflicts.The methodology of the study includes comparative legal method as well as general scientific methods (analysis, synthesis, description) and particular academic legal methods (for-mal-legal method, interpretation of legal acts).The main results and scope of their application. …”
Get full text

Fault Diagnosis of High-Power Tractor Engine Based on Competitive Multiswarm Cooperative Particle Swarm Optimizer Algorithm by Maohua Xiao, Weichen Wang, Kaixin Wang, Wei Zhang, Hengtong Zhang

“…PSO is an iterative optimization evolutionary algorithm, which can iterate through different particles to find the optimal solution. …”
Get full text

Experimental study on the failure mechanism and support optimization of deep soft rock roadway structures for coal mine safety by Lingjin Zhu, Lingjin Zhu, Fenglin Ma, Fenglin Ma, Qiang Yuan, Peng Wang, Futao Zhang, Futao Zhang, Guorui Su, Mingtian Zhang

Get full text

Optimization model of economic and environmental benefits for green development of continental shale oil reservoirs based on CCUS-EOR by CHEN Shang, DU Jialin, DU Yuanhe, LIU Yeye

“…By comparing economic and environmental benefits across different schemes， the optimal exploitation strategy was determined. …”
Get full text