Breast cancer image classification by using HCNN and LeNet5 by Pramoda Patro, Shaik Honey Fathima, R. Harikishore, Aditya Kumar Sahu

“…Abstract Medical data from many sectors has greatly increased during the last 10 years. …”
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Developing intellectual property management system in healthcare by V. S. Eminova

“…A comprehensive algorithm for intel lectual property management and element characteristics has been de veloped for the tasks of technology transfer by destination and analysis of their effectiveness in these organizations. …”
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Parameter Self-tuning of Machine Side PI Controller in Wind Power System Based on Particle Swarm Optimization by ZHENG Liang, ZHANG Xizheng, LIU Zhihua, SHU Conghui, LU Zhangyu

“…It established a motor side model of wind power generation system by adopting particle swarm optimization (PSO), and used error performance index of the model as the fitness value of the algorithm. Powerful optimization ability of PSO is used to self-tune the parameters of PI controller in the model, thus the parameter tuning problem is transformed into the algorithm optimization problem. …”
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EFFICIENCY OF STRUT-FRAMED BEAMS WITH OPTIMAL PARAMETERS by A. K. Yusupov, Kh. M. Muselemov, T. O. Ustarkhanov

“…The proposed method and algorithm indicate the effectiveness of the design. …”
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A Review of Point Cloud Fusion Technology: Methods, Applications, and Challenges by Shaojing SONG, Xinjian LI, Feiyi FANG

“…Special attention is given to balancing algorithmic complexity with fusion accuracy, particularly in addressing issues like noise, data sparsity, and uneven point cloud density. …”
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Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications by Tuan Hai Vu, Vu Trung Duong Le, Hoai Luan Pham, Yasuhiko Nakashima

“…However, to the best of our knowledge, currently there is no related work investigating these optimizers on multiple algorithms, which may lead to the selection of suboptimal optimizers. …”
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Bayesian Inference for Zero-Modified Power Series Regression Models by Katiane S. Conceição, Marinho G. Andrade, Victor Hugo Lachos, Nalini Ravishanker

“…This paper proposes a Bayesian estimation procedure based on the stochastic gradient Hamiltonian Monte Carlo algorithm, effectively addressing many challenges associated with estimating the model parameters. …”
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Research on Reverse Search System of Intelligent Parking Lot by MA Jihui, WANG Lijie, ZHAO Yuanzhen, SUN Jianbo

“…Comparing the simulation results of path optimization in different environments, the improved A ∗ algorithm reduces the number of search nodes by 60% ~ 80% compared with the breadth first algorithm.…”
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Real‐time estimation of olive flounder growth in indoor aquaculture using cameras combined with a grid by Hang Thi Phuong Nguyen, Myoungjae Jun, Hieyong Jeong

“…Abstract Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. …”
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Modern principles of conservative treatment of mild and moderate forms of ulcerative colitis by O. V. Golovenko

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Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion by Zhike Qiu, Yuhao Qin, Zichong Chen, Luping Zeng, Rui Cai

“…To address the unreasonable results under highly conflicting evidence, many methods have been proposed, particularly uncertainty-based weighting methods. …”
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Structural Properties of Optimal Maintenance Policies for <i>k</i>-out-of-<i>n</i> Systems with Interdependence Between Internal Deterioration and External Shocks by Mizuki Kasuya, Lu Jin

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An improved deep learning model for soybean future price prediction with hybrid data preprocessing strategy by Dingya CHEN, Hui LIU, Yanfei LI, Zhu DUAN

“…Finally, the high frequency component is decomposed secondarily using variational mode decomposition optimized by beluga whale optimization algorithm. In the deep learning prediction stage, a deep extreme learning machine optimized by the sparrow search algorithm was used to obtain the prediction results of all subseries and reconstructs them to obtain the final soybean future price prediction results. …”
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Comparison of Control Law Synthesis Methods for the Wheeled Robot Motion by Anastasiia Tomilova, Margarita Sotnikova

“…As a rule, the choice of one or another control algorithm depends on many factors, including the type of system. …”
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Research on Temperature Control Method of Rice Noodles Extruder Based on APSO-MPC by Mengyao Zhang, Yunren Yang, Guohua Gao, Zhenlong Li, Yakai He, Peigang Li, Huangzhen Lv

“…The temperature balance equation of the barrel is constructed by thermodynamic analysis, and the temperature prediction model is established. The APSO algorithm is further selected to perform the adaptive parameter identification of the model based on the collected input/output data. …”
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Remote Sensing and Machine Learning for Groundwater Spring Potential Assessment in Eastern and Northeastern Iran by Javad Momeni Damaneh, Samira Gerami, Mahboobeh Hajibigloo

“…Groundwater (GW) resources are being over-exploited in many parts of the world due to the increasing demand for water driven by population growth and industrialization. …”
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Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…Machine learning (ML) and deep learning (DL) algorithms have improved image processing, speech recognition, defect detection, item identification, and medical sciences. …”
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Optimization of Adaptive Sliding Mode Controllers Using Customized Metaheuristics in DC-DC Buck-Boost Converters by Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, Herman Castañeda, Juan Gabriel Avina-Cervantes

“…This paper addresses this challenge by automatically designing optimization algorithms using hyper-heuristics as a master tool. …”
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Study Design and Rationale for the PHINDER Study: Pulmonary Hypertension Screening in Patients with Interstitial Lung Disease for Earlier Detection by Tejaswini Kulkarni, David A. Zisman, Oksana A. Shlobin, David G. Kiely, Maral DerSarkissian, Eric Shen, Kevin M. Maher, Meredith Broderick, Mary Beth Scholand

“…Planned Outcomes Following study completion, statistical tools will be used to derive a practical model for a screening algorithm using the variables identified in the study as most predictive of PH in patients with ILD. …”
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Strategic deployment of roadside units for effective vehicle-to-infrastructure communication to limit road accidents by Paule Kevin Nembou Kouonchie, Willy Stephen Tounsi Fokui, Danube Kirt Ngongang Wandji

“…Abstract With the level of motorization on the rise, road accidents are increasing predominantly in developing countries. Many countries have developed strategies to ensure road safety, but the problem persists. …”
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