PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…The proposed research applies a few Machine Learning ways to anticipate Parkinson's disease by human guidance, with the dataset acting as the source of the process understanding. By applying the hyperparameter optimization process, the accuracy is estimated. …”
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Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…The control of monkeypox infections depends on early detection and prediction. This study aimed to utilize Symptom-Based Detection of Monkeypox using a machine-learning approach. …”
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Methods for the early detection of drug-induced pancreatitis: a systematic review of the literature by Brian Hutton, David Moher, Becky Skidmore, Dianna Wolfe, Salmaan Kanji, Fatemeh Yazdi

“…Objectives We systematically reviewed the literature to identify evidence-informed recommendations regarding the detection of drug-induced pancreatitis (DIP) and, secondarily, to describe clinical processes for the diagnosis of DIP.Design Systematic review.Data sources Ovid MEDLINE, including Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Embase Classic+Embase, the Cochrane Library.Eligibility criteria We included clinical practice guidelines, systematic reviews, narrative reviews and observational studies with a focus of establishing incidence, prevalence or diagnostic approaches for DIP. …”
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Real-time anomaly detection model for worm mails in high-speed network by LUO Hao, FANG Bin-xing, YUN Xiao-chun, WANG Xin, XIN Yi

“…An Email flow anomaly detection method based on leaky integrate-and-fire model was presented for detecting flow anomaly in the process of mail worm propagation.According to the day period and week period properties of the mail flow,Firstly the Hellinger distance between current mail flow and history statistic was calculated,and then integrate the Hellinger distance with Leaky integrate-and-fire method.In this way,the slice variety of flow was accumulated in the mail worm propagation slow start phase to archive the capability of the anomaly detection before the worm enter the fast spread phase.As this method only checks the mail flow information,it is suitable for high speed network mail flow anomaly detection.…”
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Enhanced criteria for detecting oscillations in neutral delay Emden-Fowler differential equations by Maryam Al-Kandari

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Triplet Spatial Reconstruction Attention-Based Lightweight Ship Component Detection for Intelligent Manufacturing by Bocheng Feng, Zhenqiu Yao, Chuanpu Feng

“…To address the requirements of shipbuilding industrial applications, a Triplet Spatial Reconstruction Attention (TSA) mechanism that combines threshold-based feature separation with triplet parallel processing is proposed, and a lightweight You Only Look Once Ship (YOLO-Ship) detection network is constructed. …”
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GENERAL ASPECTS REGARDING THE INTERNAL CONTROL OF ASSETS IN THE MINING SECTOR by BOGDAN RĂVAŞ

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Structural design and optimization of egg carrier for dynamic egg slit detection platforms. by Ronghua Meng, Yuxiang Tian, Siwei Huang

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Introducing a Method for Backflow Detection in Lobe Blowers through Ultrasonic Technique by Ali Monazami, Somaye Mohammadi, Mehdi Behzad

“… In sponge iron production plants utilizing the direct reduction method, it is very common to use lobe blowers to transfer process gas. The volumetric efficiency of lobe blowers depends on the clearance between their fixed and moving parts. …”
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The Importance of Derivatizing Reagent in Chromatography Applications for Biogenic Amine Detection in Food and Beverages by Muhammad Abdurrahman Munir, Khairiahi Haji Badri

“…Biogenic amines (BA) are chemical compounds formed in foods that contain protein, allowing the foods to undergo a bacterial degradation process. Biogenic amines are labeled as toxic food because its consumption exceeding the FDA regulation (50 mg/kg) can be harmful to humans. …”
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FPGA implementation of deep learning architecture for ankylosing spondylitis detection from MRI by Sıtkı Kocaoğlu

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MDS-Based Wormhole Detection Using Local Topology in Wireless Sensor Networks by Xiaopei Lu, Dezun Dong, Xiangke Liao

“…Then, a refinement process is introduced to filter the suspect nodes and to remove false positives. …”
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Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case by Yiqun Dong, Jianliang Ai

“…This paper considers inflight parameter identification and icing location detection of the aircraft in a more common time-varying nature. …”
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ODC: a method for online detecting ＆ classifying network-wide traffic anomalies by QIAN Ye-kui1, CHEN Ming1, HAO Qiang2, LIU Feng-rong2, SHANG Wen-zhong2

“…A method for online detecting ＆ classifying traffic anomalies（ODC for short） from a network-wide angle of view was put forward.This method constructed traffic matrix with a metric of traffic feature entropy incrementally,de-tected traffic anomalies online using incremental principal component analysis,and then classified traffic anomalies online using incremental k-means,from which network operators could benefit for taking corresponding countermeasures.Theoretical analysis and experiment analysis show that the method has lower storage and less computing time complexity,which could satisfy the requirements of real-time process.Analysis based on both measurement data from Abilene and simulation experiments demonstrate that the method has very good detection and classification performance.…”
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Superconducting Nanowire Detection of Neutral Atoms and Molecules via Their Internal and Kinetic Energy in the eV Range by M. Strauß, R. Gourgues, M. F. X. Mauser, L. Kulman, M. Castaneda, A. Fognini, A. Shayeghi, P. Geyer, M. Arndt

“…Superconducting nanowires achieve higher detection quantum yields than channel electron multipliers in the detection of metastable atoms and they surpass the efficiency of secondary electron detectors by more than a factor of 106 in the detection of molecules at impact energies below 5 eV. …”
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The Design and Data Analysis of an Underwater Seismic Wave System by Dawei Xiao, Qin Zhu, Jingzhuo Zhang, Taotao Xie, Qing Ji

“…The host computer performs the collaborative optimization of multi-modal hardware architecture and adaptive signal processing algorithms, enabling the detection of ship targets in oceanic environments. …”
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FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

“…The advancement of Transformer models in computer vision has rapidly spurred numerous Transformer-based object detection approaches, such as DEtection TRansformer. …”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

“…Earlier works revolved around semantic segmentation and object detection with a special program for lanes. However, most methods still suffer from unstable post-processing algorithms which leads to a gap between camera input and downstream applications. …”
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Loop-Reduction LLL Algorithm and Architecture for Lattice-Reduction-Aided MIMO Detection by Chun-Fu Liao, Li-Wei Chai, Yuan-Hao Huang

“…We propose a loop-reduction LLL (LR-LLL) algorithm for lattice-reduction-aided (LRA) multi-input multioutput (MIMO) detection. The LLL algorithm is an iterative algorithm that contains many check and process operations; however, the traditional LLL algorithm itself possesses a lot of redundant check operations. …”
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity by Wenda Yang, Minggong Wu, Xiangxi Wen, Kexin Bi

“…Firstly, a multiple input multiple output (MIMO) cooperative detection model is constructed. Then, based on the perspective of information theory, the channel capacity of the cooperative detection model is derived and used as the objective function for optimizing the detection resources of UAV swarm. …”
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