Benchmarking 21 Open-Source Large Language Models for Phishing Link Detection with Prompt Engineering by Arbi Haza Nasution, Winda Monika, Aytug Onan, Yohei Murakami

“…While traditional methods rely heavily on handcrafted features and supervised machine learning, recent advances in large language models (LLMs) provide promising alternatives. …”
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Online medical privacy protection strategy under information value-added mechanism by Shengzhi MING, Jianming ZHU, Zhiyuan SUI, Xian ZHANG

“…China’s economic level and people’s living standards have developed rapidly in recent years, and the medical level and medical technology have made breakthroughs continuously.With the promotion and deepening of“Internet Plus” to business model innovation in various fields, the development of “Internet Plus” medical has been rapidly developed.Due to the continuous development of data processing technologies such as machine learning and data mining, the risk of users’ personal medical data disclosure in the process of online medical treatment has also attracted the attention of researchers.Considering the deductibility of information, the discount mechanism was adopted to describe the change of user’s private information value in different stages of the game.Combined with the current research status in the field of online medical privacy protection motivation, how to mobilize the enthusiasm of both players from the level of privacy protection motivation was explored with game analysis.In view of the game characteristics of users’ strong willingness to continually use the online medical platform and intermittently provide privacy, the repeated game method was adopted to better describe the game process between users and the online medical platform.The tendency change law of the players on both sides of the game was obtained.Moreover, the Nash equilibrium of the game model was analyzed under different model parameters and the change trend of the game strategy of both sides with the progress of the game stage.When the parameters were met 2(c_p-c_n)≥l_p(p_n-p_p), the user started to choose from “agree to share private data” to “refuse to share private data”.The above conclusion was verified by simulation experiments.Based on the above conclusions, from the perspective of online medical platform and users, policy suggestions on how to realize privacy protection from the level of privacy protection motivation in the process of online medical treatment were given.…”
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification. by M Amudha, K Brindha

“…The classification module integrates a Hessian-based Optimal Brain Surgeon (HOBS) approach with a pruned Extreme Learning Machine (ELM), optimizing network parameters while reducing computational complexity. …”
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Exploration of Cutting Processing Mode of Low-Rigidity Parts for Intelligent Manufacturing by Jianping Zhu, Xinna Liu, Hui Peng, Wei Liu, Zhiyong Li

“…At the same time, machine tool condition, cutting tool condition, and low-rigidity part condition are real-time monitored to achieve high-precision, efficient, intelligent, and precise cutting of low-rigidity parts. …”
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Method of Diagnostics of Operation Modes of Individual Heat Supply Units, Allowing to Detect Pre-Emergency Situations at an Early Stage by Dvortsevoy A.I., Borush O.V., Khoreva V.A., Yakovina I.N.

“…The use of machine learning methods to control heat supply systems is a pressing issue worldwide. …”
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MECHANICAL PROPERTIES OF SERVOVITE FILMS FORMED IN DURING FRICTION AQUEOUS SOLUTIONS OF CARBOXYLIC ACIDS by V. E. Burlakova, E. G. Drogan, A. I. Tyurin, T. S. Pirozhkova

“…Tribological studies of the brass-steel friction pair on the AE-5 end-type friction machine are carried out. Roughness parameters of the servovite  film were determined through the optical profilometry. …”
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A Computationally Efficient Model Predictive Control Energy Management Strategy for Hybrid Vehicles Considering Driving Style by Yalian Yang, Yuqi Chen, Changdong Liu

“…Driving data were collected through driver-in-the-loop simulation experiments, a certain number of feature parameters related to driving styles were analyzed, and the final feature parameters were determined through two screenings. …”
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Predictive tools and scoring systems for surgical intervention in antenatal hydronephrosis and pelviureteric junction obstruction: An ATLAS based on comprehensive review of literat... by Leo Edward Fitzgerald Gradwell, Abdullah Khalid Fouda Neel, Bhaskar K. Somani

“…Included studies described original tools or external validation of models using radiological parameters to stratify risk. Each tool was appraised for input parameters, derivation methodology, outcome definitions, external validation, and clinical applicability. …”
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Antenna Optimization Design Based on Deep Gaussian Process Model by Xin-Yu Zhang, Yu-Bo Tian, Xie Zheng

“…In this network, GP is used to replace the fully connected layer of the CNN, the convolutional layer and the pooling layer of the CNN are used to reduce the dimension of the input parameters and GP is used to predict output, while particle swarm optimization (PSO) is used algorithm to optimize network structure parameters. …”
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A Newly Developed Compressed Air Cannon Test Bench Designed for Multi-Impact Analysis of Composite Structures by Ayoub Soufri, Ameur Chettah, Benoît Piezel, Christophe Bouvet

“…However, further testing is required to determine whether this result holds true under varying impact parameters, highlighting the unique value of this machine for exploring new, realistic questions in the literature.…”
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Gorilla troops optimization with deep learning based crop recommendation and yield prediction by A. Punitha, V. Geetha

“…The latest breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) technologies pave the way to designing effective crop recommendation and prediction models. …”
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Prolonged ex-vivo normothermic kidney perfusion: The impact of perfusate composition. by Merel B F Pool, Tim L Hamelink, Harry van Goor, Marius C van den Heuvel, Henri G D Leuvenink, Cyril Moers

“…Normothermic machine perfusion (NMP) of donor kidneys provides the opportunity for improved graft preservation and objective pre-transplant ex-vivo organ assessment. …”
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Resting-state EEG microstate features for Alzheimer's disease classification. by Xiaoli Yang, Zhipeng Fan, Zhenwei Li, Jiayi Zhou

“…Based on four different classifiers, microstate parameters can be served as markers to effectively classify the EEG of AD patients. …”
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Study of the physical and biological properties of nanocomposite materials obtained with laser radiation by U. E. Kurilova, A. Yu. Gerasimenko

“…At the same time, the mechanical parameters of the samples corresponded to the requirements for materials for the restoration of connective tissue defects. …”
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Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…Subsequently, the proposed AMGWO is implemented to simultaneously adapt the intrinsic parameters in PSR and KELM for all the forecasting components. …”
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OPTIMIZING HEART ATTACK DIAGNOSIS USING RANDOM FOREST WITH BAT ALGORITHM AND GREEDY CROSSOVER TECHNIQUE by Safrizal Ardana Ardiyansa, Natasha Clarissa Maharani, Syaiful Anam, Eric Julianto

“…This approach is particularly adept at preventing convergence issues often associated with local minima. The optimal parameters for BBA with greedy crossover are determined to be , , , and . …”
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Hypergeometric Functions as Activation Functions: The Particular Case of Bessel-Type Functions by Nelson Vieira, Felipe Freitas, Roberto Figueiredo, Petia Georgieva

“…These functions have trainable parameters, and therefore after the training process, the NN will end up with different activation functions. …”
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Recursive Time Series Prediction Modeling of Long-Term Trends in Surface Settlement During Railway Tunnel Construction by Feilian Zhang, Qicheng Wei, Zhe Wu, Jiawei Cao, Danlin Jian, Lantian Xiang

“…ISCSO is used to optimize the key parameters of the KELM to obtain the long-term trend curves of surface settlement through recursive time series prediction. …”
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Underwater Modulation Classification Using Discrete Wavelet Transform and Genetic Algorithm by Ali Çimen, Erdoğan Aldemir, Timur Düzenli

“…Different modulation techniques are used to minimize the effects of these parameters. Automatic modulation classification plays a critical role in terms of effective management of spectrum resources. …”
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Prediction of Dendrite Growth Velocity in Undercooled Binary Alloys Based on Transfer Learning and Molecular Dynamics Simulation by Jia Wei, Mingyu Zhang, Shuai Li, Shu Li

“…The growth velocity of the crystal–melt interface during solidification is one of the important parameters that determine the crystal growth morphology. …”
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