Creation and Training of artifical neural network for Detection and Neutralization of Network DDos–attacks(“Denial of Service”) by P. V. Razumov, L. V. Cherkesova, E. A. Revyakina

“…An analysis of existing artificial neural networks was carried out to determine their optimal structure; Existing methods for detecting network DDoS attacks have been studied; Datasets were collected and refined to improve the quality of training; The structure of the artificial neural network of the classifier was created and its training was carried out, a demonstration software was created that illustrates the process of classification and blocking and neutralizing DDoS attacks.Conclusion. …”
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Optimization of the control system of BP-PID rice polishing unit based on WAO algorithm by HUANG Jinliang, ZHOU Jin, YU Wei

“…Built a database to store relevant data and participated in the optimization of the processing parameters of the unit. …”
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A low-complexity AMP detection algorithm with deep neural network for massive mimo systems by Zufan Zhang, Yang Li, Xiaoqin Yan, Zonghua Ouyang

“…Secondly, by unfolding the obtained AMP detection algorithm, a DNN is specifically designed for the optimal performance gain. …”
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Enhanced medical image segmentation using novel level set evolution and efficient optimization by Samad Wali, Adil Jhangeer, Ariana Abdul Rahimzai, Samina Samina, Mudassar Imran

“…Experimental findings show that the model successfully detects boundaries of objects within noisy and blurred visual data. …”
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Robust Fault Detection of Linear Uncertain Time-Delay Systems Using Unknown Input Observers by Saeed Ahmadizadeh, Jafar Zarei, Hamid Reza Karimi

“…This observer can give disturbance decoupling in the presence of noise and uncertainties for linear uncertain time-delay systems. The developed method is applied to a numerical example, and the simulation results show that the proposed approach is able to detect faults reliably in the presence of modeling errors, disturbances, and noise.…”
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Joint Optimization of the 3D Model and 6D Pose for Monocular Pose Estimation by Liangchao Guo, Lin Chen, Qiufu Wang, Zhuo Zhang, Xiaoliang Sun

“…Experimental results on synthetic and real image sequences show that the proposed method achieves real-time and online high-precision monocular pose estimation with the absence of an accurate 3D model via the joint optimization of the target’s 3D model and pose.…”
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Optimization of pharmaceutical therapy of erosive and ulcerative lesions of the gastroduodenal zone in elective surgical patients by A. V. Kuligin, K. A. Ershova, A. E. Polozhenkov, R. S. Prokhorov, M. S. Yakovenko, A. V. Borota, N. K. Ibragimov, A. A. Sheptulin

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Enhanced early detection of dysarthric speech disabilities using stacking ensemble deep learning model by Jagat Chaitanya Prabhala, Ravi Ragoju, Venkatanareshbabu Kuppili, Christophe Chesneau

“…Each base model underwent independent training, and the GA optimized the ensemble by evolving an adaptive weight distribution instead of relying on predefined fusion methods. …”
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Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network by Quantong ZHANG, Yao ZHENG, Liu YANG, Shuaishuai ZHANG, Quanyou GUO

“…To achieve rapid detection of astaxanthin content in Antarctic krill meal, a determination method for astaxanthin content in krill meal was established using computer vision and convolutional neural networks. …”
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Skin Staphylococcus aureus detection and relationship to atopic dermatitis outcomes using culture and metagenomic sequencing by Arya Dahal, Wan Chi Chang, Elisabet Johansson, Brittany Grashel, David Morgan, Lindsey Williams, Mindy Hammonds, Seiya Sachdeva, Dan Spagna, Latha Satish, Jocelyn M. Biagini, Lisa J. Martin, David B. Haslam, Nicholas J. Ollberding, Gurjit K. Khurana Hershey

“…Despite this, there is no consensus regarding the optimal method to detect SA. Studies comparing metagenomic shotgun sequencing (MSS) and culture-based methods in SA detection and relationships to AD outcomes are lacking. …”
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Detecting Potential Investors in Crypto Assets: Insights from Machine Learning Models and Explainable AI by Timotej Jagrič, Davor Luetić, Damijan Mumel, Aljaž Herman

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Response surface optimization and flavor determination of fermentation processes of orange peel tea wine by Yanbo Liu, Liu Mengge, Pengpeng Zhang, Wenxi Liu, Chong Yang, Jiayi Cui, Haideng Li, Chunmei Pan

“…Background In this study, Xinyang Maojian tea and orange peel were used as raw materials to brew health wine with orange and tea flavors. Methods Based on a single factor, the response surface method was used to optimize the fermentation of orange peel tea wine. …”
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Launch dynamics modeling and simulation of box-type multiple launch rocket system considering plane clearance contact by Jinxin Tang, Guoping Wang, Genyang Wu, Yutian Sun, Lilin Gu, Xiaoting Rui

“…In this study, a multi-rigid-flexible-body launch dynamics model coupling the launch platform and rocket was established using the multibody system transfer matrix method and the Newton-Euler formulation. Furthermore, considering the bending of the launch canister, a detection algorithm for slider-guide plane clearance contact was proposed. …”
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Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism by Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul

“…Epileptic seizures, a prevalent neurological condition, necessitate precise and prompt identification for optimal care. Nevertheless, the intricate characteristics of electroencephalography (EEG) signals, noise, and the want for real-time analysis require enhancement in the creation of dependable detection approaches. …”
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Optimizing the Postcataract Patient Journey Using AI-Driven Teleconsultation: Prospective Case Study by Joukje C Wanten, Noël J C Bauer, Mohita Chowdhury, Aisling Higham, Nick de Pennington, Frank J H M van den Biggelaar, Rudy M M A Nuijts

“… Abstract BackgroundGiven the increasing global demand for ophthalmologic care and the anticipated shortage of ophthalmology professionals, innovative solutions are essential for optimizing health care delivery. Digital health technologies offer promising opportunities to efficiently manage high patient volumes. …”
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Detecting Sensitive Spectral Bands and Vegetation Indices for Potato Yield Using Handheld Spectroradiometer Data by Diego Gomez, Pablo Salvador, Juan Fernando Rodrigo, Jorge Gil

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A Novel Ensemble of Deep Learning Approach for Cybersecurity Intrusion Detection with Explainable Artificial Intelligence by Abdullah Alabdulatif

“…Traditional IDS methods, often based on static signatures and rule-based systems, are no longer sufficient to detect and respond to complex and evolving attacks. …”
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Detection of drainage ditches from LiDAR DTM using U-Net and transfer learning by Holger Virro, Alexander Kmoch, William Lidberg, Merle Muru, Wai Tik Chan, Desalew Meseret Moges, Evelyn Uuemaa

“…The best fine-tuned model achieved an overall F1 score of 0.766, demonstrating its effectiveness in detecting drainage ditches in training data-scarce regions. …”
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Detection of kidney bean leaf spot disease based on a hybrid deep learning model by Yiwei Wang, Qianyu Wang, Yue Su, Binghan Jing, Meichen Feng

“…However, traditional machine learning methods face limitations in feature extraction, while deep learning approaches, despite their advantages, are computationally expensive and do not always yield optimal results. …”
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Enhanced BDS four-frequency cycle slip detection and repair using fuzzy clustering analysis by Jinfeng Yuan, Xiaoning Su, Yuzhao Li

“…Finally, cycle slips were repaired using the least squares method. According to the experimental results, the optimal geometry-free phase combinations (−2, 2, 1, −1), (1, −1, 1, −1), (3, 2, −2, −3), and the pseudo-range phase combination (−1, 1, 1, −1), selected based on fuzzy clustering analysis, were used for cycle slip detection. …”
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