Clinical and immunological biomarkers in hypereosinophilic syndrome: the second step after diagnostic algorithms by David Longhino, Ilaria Baglivo, Maria Antonietta Zavarella, Stefania Colantuono, Chiara Laface, Gabriele Lucca, Laura Bruno, Fabio Romano Selvi, Vincenzo Patella, Aikaterini Detoraki, Rosa Buonagura, Caterina Tatarelli, Barbara Moscatelli, Serena D’Avelli, Elisabetta Abruzzese, Elisabetta Greco, Antonio Gasbarrini, Livio Pagano, Marianna Criscuolo, Sabrina Giammarco, Cristiano Caruso

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Optimization of the Operation Rule Curves for Cascade Reservoirs Using the Cuckoo Search Algorithm by Ismail Ara, Mutlu Yasar

“…The total energy obtained with the proposed operation rule curves was 14% higher than that currently produced by the Adiguzel and Cindere dams.…”
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A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context by Guangxia Xu, Zhijing Tang, Chuang Ma, Yanbing Liu, Mahmoud Daneshmand

“…Therefore, the personalized recommendation system which utilizes the user’s behaviour information to recommend interesting items emerged. Currently, collaborative filtering has been successfully utilized in personalized recommendation systems. …”
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A Novel Complex Networks Clustering Algorithm Based on the Core Influence of Nodes by Chao Tong, Jianwei Niu, Bin Dai, Zhongyu Xie

“…Network clustering methods are thus significant for the study of complex networks. Currently, many typical clustering algorithms have some weakness like inaccuracy and slow convergence. …”
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An Energy Distribution and Optimization Algorithm in Wireless Sensor Networks for Maritime Search and Rescue by Huafeng Wu, Qiannan Zhang, Su Nie, Wei Sun, Xinping Guan

“…Currently, maritime search and rescue (MSR) is mainly depending on the search party, while the searching objects are waiting passively. …”
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Variable Selection Algorithm for Explaining Anomalies in Real-World Regenerative Thermal Oxidizers by Min-Ji Seo, Myung-Ho Kim

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Microblog burst topic diffusion prediction algorithm based on the users and node scale by Wei WANG, Rui-guang LI, Yuan ZHOU, Wu YANG

“…The main purpose of burst topic diffusion modeling and prediction is to control the subsequent large-scale dis-semination of emergency incidents with adverse effect. Currently microblog topic diffusion and prediction is still in its infancy. …”
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A genetic algorithm based method of optimizing dispersion matrix for RDSM system by Peng ZHANG, Xiaoping JIN, Dongxiao CHEN

“…Rectangular differential spatial modulation (RDSM) is a multi-antenna incoherent modulation technology with high spectral efficiency, low power consumption, and zero-overhead for channel estimation.RDSM is especially suitable for 6G communication systems, such as fast-moving Internet of vehicles, Internet of things, cellular networks, etc.However, the construction of the sparse rectangular unitary space-time dispersion matrix (DM) at transmitter is a problem.The proposed Genetic algorithm (GA) will result in less computational complexity than the currently used random research.The fitness of GA was calculated by the rank and determinant criterion (RDC) method to avoid discussions in differential system.Due to characteristics of constellation symbols of RDSM, the proposed method reduced the computational complexity during each single iteration in GA.The simulation results show that the optimized DMS can significantly improve the bit error rate (BER) performance of the RDSM system.Compared with random search, the low-complexity GA effectively improves the DMS optimization efficiency of RDSM.The computational complexity required for optimizing DMS is about 0.1% of random search optimization method.…”
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Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm by ZHOU Ruilin, LEI Chengjian, LIU Ze, SU Huiliang

“…The traditional PID algorithm used in the currently existing automatic train operation system is limited due to fixed parameters, making it difficult to achieve excellent control effects in actual operation scenes featuring strong coupling and high nonlinearity, which is mainly attributed to difficulties in overcoming nonlinear disturbances.In light of this, this paper proposes an automatic train operation approach that relies on a fuzzy adaptive PID algorithm, which can adjust the PID parameters in real time according to the preset fuzzy rules, thus improving the PID controller's performance in speed tracking and leading to an improved train control effect. …”
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Research on Local Obstacle Avoidance Path Planning Algorithm for Autonomous Mining Trucks by HUANG Shuai, WANG Jia, HUANG Jiade, HUANG Peng, LYU Liang

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PredβTM: A Novel β-Transmembrane Region Prediction Algorithm. by Amrita Roy Choudhury, Marjana Novič

“…Despite significant efforts, currently available β-transmembrane region predictors are still limited in terms of prediction accuracy, especially in precision. …”
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Research on Beef Marbling Grading Algorithm Based on Improved YOLOv8x by Jun Liu, Lian Wang, Huafu Xu, Jie Pi, Daoying Wang

“…This study proposes a beef marbling grading algorithm based on an enhanced YOLOv8x model to address these challenges. …”
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The optimization model of building construction based on BIM and improved NSGA-III algorithm by Meng Wang

“…Currently, there are difficulties in dealing with higher construction requirements and standards in subway construction management. …”
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A reposition algorithm for e-hailing based on quantum annealing and intuitive reasoning by Chao Wang, Yiyun Shi, Sumin Wang

“…Currently, the challenge lies in the traditional intelligent algorithm’s ability to effectively address the e-hailing repositioning issue. …”
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Trajectory Planning of Unmanned Aerial Vehicles in Complex Environments Based on Intelligent Algorithm by Zhekun Cheng, Jueying Yang, Jinfeng Sun, Liangyu Zhao

“…To overcome these challenges, this review presents a comprehensive summary of various trajectory planning techniques currently applied to UAVs based on the emergence of intelligent algorithms, which enhance the adaptability and learning ability of UAVs and offer innovative solutions for their application in complex environments. …”
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A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

“…The results of simulation experiments show that the proposed algorithm demonstrates greater robustness compared to the currently available algorithms, can achieve a higher output SINR, and is insensitive to steering vector mismatch.…”
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Predicting diabetes using supervised machine learning algorithms on E-health records by Sulaiman Afolabi, Nurudeen Ajadi, Afeez Jimoh, Ibrahim Adenekan

“…Background: Diabetes mellitus is one of the most significant health challenges currently faced by people especially in the United States of America because of hyperglycemia. …”
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Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data by Joice J Anish, D Ajitha

“…In this paper, cutting-edge machine learning (ML) and deep learning (DL) techniques are used to show how BT is currently being diagnosed with MRI images. This study is about the algorithms, datasets, and model designs that different researchers have utilized for classifying BT images. …”
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Double‐layer Byzantine fault‐tolerant grouping consensus algorithm based on raft by Haotian Yuan, Fei Li, Renhong Diao, Ting Shu

“…Abstract Addressing the scalability issues, excessive communication overhead, and challenges in adapting to large‐scale network node environments faced by the Practical Byzantine Fault Tolerance (PBFT) consensus algorithm currently employed in consortium blockchains, this paper proposes a Double Layer Consensus Algorithm Based on RAFT and PBFT Consensus Algorithms (DLCA_R_P). …”
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An industrial carbon block instance segmentation algorithm based on improved YOLOv8 by Runjie Shi, Zhengbao Li, Zewei Wu, Wenxin Zhang, Yihang Xu, Gan Luo, Pingchuan Ma, Zheng Zhang

“…Abstract Automatic cleaning of carbon blocks based on machine vision is currently an important aspect of industrial intelligent applications. …”
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