K-Nearest Neighbors with Third-Order Distance for Flooding Attack Classification in Optical Burst Switching Networks by Hilal H. Nuha, Satria Akbar Mugitama, Ahmed Abo Absa, Sutiyo

“…This paper introduces a novel machine learning method for flooding attack detection in OBS networks, based on a third-order distance function for k-nearest neighbors (KNN3O). …”
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Health Status of Hemodialysis Patients with End Stage Kidney Disease in Kirkuk City by Mujda Najim Taha, Abid Salih Kumait

“… Background: Hemodialysis is a treatment for end-stage renal disease (ESRD) in which a machine filters waste and excess fluids from the blood for patients whose kidneys can no longer perform this function on their own. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry’s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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Realizing depth measurement and edge detection based on a single metasurface by Yang Siwen, Wei Qunshuo, Zhao Ruizhe, Li Xin, Zhang Xue, Li Yao, Li Junjie, Jing Xiaoli, Li Xiaowei, Wang Yongtian, Huang Lingling

“…Here, we design and experimentally validate a single geometric metasurface that can achieve depth measurement or edge detection under incoherent or coherent light respectively. Double helix point source function is utilized, and three verification experiments are carried out, including double-helix beam calibration, 2D object and 3D object detection, respectively. …”
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差动轮系指南车的设计与分析 by 李绍青

“…To meet the needs of public science education,an ancient China compass chariot was designed and simulated with virtual prototyping technology.Differential gear was used in the machine to compensate for the turning of the chariot,so that the angular velocity of the compass pole to the earth is always zero,achieving south pointing function.The principle is tested reasonable since simulation and prototype production have been successful.The compass chariot has simple structure,less transmission parts,easy to observe and understand,and can be met the need of public science education.…”
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Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

“…Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. The objective function in this optimization process was to increase efficiency while maintaining the flow rate and pressure ratio at the design point. …”
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Enhancing Hand Rehabilitation Through Interactive Design by Xiaotian Sun, Sitong Lu, Jiaqi Fan

“…Specially from an emotional point of view, the elements, such as functionality, design, color, material, and human-computer interaction, based on user needs, would be analyzed to summarize some core requirements. …”
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Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics by Salvatore Benfatto, Martin Sill, David T. W. Jones, Stefan M. Pfister, Felix Sahm, Andreas von Deimling, David Capper, Volker Hovestadt

“…We anticipate that our resource will build up trust in machine learning in clinical settings, foster biomarker discovery and development of compact point-of-care assays, and enable further epigenome research of brain tumors. …”
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Using SVM Classifier and Micro-Doppler Signature for Automatic Recognition of Sonar Targets by Abbas Saffari, Seyed Hamid Zahiri, Navid Khozein Ghanad

“…However, to reduce the complexity of the model, the 128- point fast Fourier transform (FFT) is used. The selected SVM classification is the most popular machine learning algorithm with three main kernel functions: RBF kernel, linear kernel, and polynomial kernel tested. …”
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Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing by Diego Resende Faria, Amie Louise Godkin, Pedro Paulo da Silva Ayrosa

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The analysis of learning investment effect for artificial intelligence English translation model based on deep neural network by Yan Zhang, Shuangshuang Lyu

“…Ablation experiments indicate that the future context information supervision function and multimodal consistency loss function are crucial for the model’s performance. …”
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Using high angular resolution diffusion imaging data to discriminate cortical regions. by Zoltan Nagy, Daniel C Alexander, David L Thomas, Nikolaus Weiskopf, Martin I Sereno

“…Two HARDI data sets were collected from each individual and aligned with the corresponding structural image. At each vertex point on the surface tessellation, the diffusion-weighted signal was extracted from each image in the HARDI data set at a point, half way between gray/white matter and pial boundaries. …”
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Research on fault diagnosis of amorphous alloy transformers by using vibration signals and a PSO-optimized full-process WPT-SVM model by Daosheng Liu, Wentao Yang, Longsheng Liu, Zhe Zhao

“…Therefore, in order to solve the AMT vibration monitoring problem and enhance the diagnostic efficiency, this study proposes an AMT fault diagnosis model based on particle swarm optimization (PSO) to optimize the parameters of wavelet packet transform (WPT) and support vector machine (SVM).The optimal vibration signal acquisition point is determined by finite element analysis to ensure high signal quality. …”
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Mechanomorphism—From Mechanical Dolls to Cyborgs: How Animation Characters Transform Under the Dominating Technogenic Paradigm / Механоморфизм: от механической куклы к киборгам. Тр... by KRIVULYA NATALIA G. / КРИВУЛЯ Н.Г.

“…Not only has the position of the artificial towards the human altered: the distance between the two is also reducing, and they even come towards the point of convergence. Artificial beings appear as more perfect creatures, the main function of which is to save and preserve humans as a species. …”
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Double weighted k nearest neighbours for binary classification of high dimensional genomic data by Amjad Ali, Zardad Khan, Hailiang Du, Saeed Aldahmani

“…To achieve this goal, the estimated weighted distances from the observations in the k nearest neighbourhood to the test point are used in an exponential function. The outputs of the function are summed for both the classes separately and the test point is assigned the class label with the largest sum. …”
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Units mechanization for improving mountain slope areas by Soldatova I.E., Gulueva L.R.

“…The indicators of testing conditions and functional indicators of the machine performance were determined according to the industry standard OST 10.5.1-2000, according to the industry standard, OST 10.7.1.-2000. …”
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Confirmation of driving principle by weight analysis of Integration Neural Network and extension of deductive approximator by Yoshiharu IWATA, Hidefumi WAKAMATSU

“…The integral neural network is a linear approximator using deductive knowledge that constrains the shape of the approximate curve between learning points by multiple regression analysis in which the basis function is determined by deductive information and an inductive learning method that suppresses overlearning of the linear approximator by compensating factors that are not expressed in the basis function by deductive information of the linear approximator. …”
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Video-urodynamic Profile in Postoperative Cases of Lumbosacral Myelomeningocele with Neurogenic Bladder by Dipanjan Goswami, Gaurav Saxena, Sujoy Neogi, Simmi K Ratan, Prafull Kumar, Chiranjiv Kumar, Md. Fahim Ahmad

“…The VUDS parameters and presence of VUR were noted along with sonographic evaluation of the urinary tract as well as renal function tests. VUDS was done using the HERMES model, and micturating cystourethrography films were taken using the C-arm fluoroscopy machine. …”
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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…The Power Transmission Line (PTL) is a pivotal infrastructure in the efficient distribution of electrical power, connecting the source generating stations to end-point consumers. This intricate system utilizes various components of diverse sizes and functionalities to transmit power. …”
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Rapid response electroencephalography decreases time to seizure diagnosis in pediatric acute care patients by Nevedha Rajan, Toni Kavanagh, Maite LaVega‐Talbott, Sandeep Gangadharan

“…Rapid response EEG (rrEEG) device Ceribell and its Brain Stethoscope function can be used and interpreted rapidly by bedside providers with minimal training. …”
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