From Convolutional Networks to Vision Transformers: Evolution of Deep Learning in Agricultural Pest and Disease Identification by Mengyao Zhang, Chaofan Liu, Zihan Li, Baoquan Yin

“…Traditional pest and disease identification methods mainly rely on manual detection or traditional machine learning techniques, but they have obvious deficiencies in terms of their accuracy and generalisation ability. …”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…The method utilizes the edge detection pixel point data of the part image for searching and region localization of line and circle features in the image with a modified Hough transform; A geometric calculation is used to compute the coordinates of the point cloud within the feature area; Drawing on the idea of graph neural network, the priori knowledge of machining is utilized to establish the correlation of related dimensional features in the part drawing, and this is used to propose a model of dimensional validation and correction by the combination of different features. …”
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Classification of Real and Fake Images Using Error Level Analysis Technique and MobileNetV2 Architecture by Muhamad Nur Baihaqi, Aris Sugiharto, Henri Tantyoko

“…To address this issue, Error Level Analysis (ELA) feature extraction can be utilized to detect error level variations in lossy-formatted images such as JPEG. …”
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Diversities between pediatric extra-pulmonary and pulmonary tuberculosis: a warning sign for the future by ilker devrim, Hüseyin Aktürk, Hüseyin Aktürk, Nuri Bayram, Nuri Bayram, Hurşit Apa, Hurşit Apa, Şener Tulumoğlu, Şener Tulumoğlu, Fatma Devrim, Fatma Devrim, Tulin Erdem, Tulin Erdem, Yüce Ayhan, Yüce Ayhan, İpek Tamsel, İpek Tamsel, Demet Can, Demet Can, Hüdaver Alper, Hüdaver Alper

“…Background: Tuberculosis(TB) remains a major global health problem. The childhood tuberculosis has some unique features different which makes the diagnosis more complicated. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Especially freely available labeled prostate magnetic resonance imaging data is rare. With regard to this problem, we show a method to combine two existing small datasets to form a bigger one. …”
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Autobiographical memory in Alzheimer’s disease: a systematic review by Chiara Stramba-Badiale, Fabio Frisone, Fabio Frisone, Fabio Frisone, Fabio Frisone, Diana Biondi, Giuseppe Riva, Giuseppe Riva

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Multiple-Image Encryption Mechanism Based on Ghost Imaging and Public Key Cryptography by Leihong Zhang, Xiao Yuan, Kaimin Wang, Dawei Zhang

“…In addition, randomness in the permutation operation and public key cryptography provide a strong security feature for the encryption system. The multiple-image encryption scheme solves the crosstalk problem among images. …”
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Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

“…Heart disease is a major problem that must be overcome for human life. In recent years, the volume of medical data related to heart disease has increased rapidly, and various heart disease data has collaborated with information technology such as machine learning to detect, predict, and classify diseases. …”
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Dual-verified secure localization method for unmanned intelligent vehicles by GU Xiaodan, XIA Guozheng, SONG Bingchen, YANG Ming, LUO Junzhou

“…Once an abnormal position was detected, an alert would be issued, ensuring the normal operation of the unmanned intelligent vehicles. …”
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Cooperative play classification in team sports via semi-supervised learning by Ziyi Zhang, Takeda Kazuya, Fujii Keisuke

“…Classifying multi-agent cooperative behavior is a fundamental problem in various scientific and engineering domains. …”
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On the Equilibrium State Stability of a Neural Network Model by Y. V. Bogomolov

“…In the paper, a neural network model based on three McCulloch–Pitts adder neurons is considered. Previously, the features of the model dynamics were numerically analyzed and the stability of various dynamic modes of the network with small changes of the current state was studied, including the detection of parameters specific for the chaotic system dynamics. …”
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RECOGNITION OF PROPELLER-DRIVEN AIRCRAFT IN A PASSIVE BISTATIC RADAR by E. N. Vorobev, V. I. Veremyev, D. V. Kholodnyak

“…Nowadays passive bistatic radars (PBR) allow for detection, determination of coordinates and tracking of moving objects. …”
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Monitoring the reliability of integrated circuits protection against Trojans: encoding and decoding of combinational structures by L. A. Zolotorevich, V. A. Ilyinkov

“…The emergence of counterfeit integrated circuits, problems of piracy, overproduction, unauthorized interference in the design of microcircuit, hardware Trojans require the development of methods and means of their timely detection. …”
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Collaborative Big Data Management and Analytics in Complex Systems with Edge 2021 eaCamera: A Case Study on AI-Based Complex Attention Analysis with Edge System by Chaopeng Guo, Peimeng Zhu, Feng Li, Jie Song

“…In this paper, we study the problem of attention detection. Attentional concentration during some specific tasks plays a vital role, which indicates the effectiveness and performance of human beings. …”
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Instantaneous Frequency Analysis Based on High-Order Multisynchrosqueezing Transform on Motor Current and Application to RV Gearbox Fault Diagnosis by Shiyi Chai, Kai Xu

“…Aiming at this problem, this study presents instantaneous frequency polarview (IFpolarview), which diagnoses faults based on motor angle and motor current frequency modulation (FM) features. …”
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Influence of Geometry and Boundary Conditions in Area of Cohesion between Materials on the Reflection of an Ultrasonic Beam. Part 1. Theoretical research by A. R. Bayev, A. L. Mayorov, N. V. Levkovich, D. V. Shavlovskiy, M. V. Asadchaya

“…The improvement of efficiency, reliability and productivity of ultrasonic testing of objects with cohesion between materials connected by welding, soldering, gluing, etc. is 'an important problem of the modern production technologies. The purpose of the paper is to determine in 3D space the conditions for increasing the sensitivity and reliability of the flaw detection in the cohesion zone between materials when the form of defect interface can be different.In the first part of the theoretical study the features of the formation of the acoustic fields of ultrasonic waves scattered from solid's interface when spot of an acoustic beam crosses the boundary of the defective region in the shape of an ellipse or a long strip have been investigated. …”
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Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals by Illia Pidvalnyi, Anna Kostenko, Oleksandr Sudakov, Dmytro Isaev, Oleksandr Maximyuk, Oleg Krishtal, Olena Iegorova, Ievgen Kabin, Zoya Dyka, Steffen Ortmann, Peter Langendorfer

“…Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. …”
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3D Reconstruction and Measurement Analysis of a Dense Point Cloud Fused with a Depth Image by Yujing Qiao, Ning Lv, Siyuan Zhang

“…To solve the problems of holes, noise, and texture information missing in the traditional incremental reconstruction of complex surface objects, a 3D reconstruction method of depth image fusion surface dense point clouds is proposed, and texture feature creation is combined to obtain a 3D reconstruction model that takes into account the main body and details of the reconstructed object. …”
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A Comprehensive Analysis of the Security of ML Integrated CPS as Autonomous Vehicles by Kesava reddy, Kumudham R

“…Besides, the security and reliability problems have stimulates in protection and detection methodologies. …”
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TCAD Simulation Study of Electrical Performance of a Novel High-Purity Germanium Drift Detector by Mingyang Wang, Zheng Li, Bo Xiong, Yongguang Xiao

“…High-purity germanium (HPGe) detectors occupy a prominent position in fields such as radiation detection and aerospace because of their excellent energy resolution and wide detection range. …”
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