Using 'sentinel' plants to improve early detection of invasive plant pathogens. by Francesca A Lovell-Read, Stephen Parnell, Nik J Cunniffe, Robin N Thompson

“…Here, we construct a computational model of pathogen transmission to explore this trade-off and investigate how including sentinel plants in monitoring programmes could facilitate earlier detection of invasive plant pathogens. Using Xylella fastidiosa infection in Olea europaea (European olive) as a current high profile case study, for which Catharanthus roseus (Madagascan periwinkle) is a candidate sentinel host, we apply a Bayesian optimisation algorithm to determine the optimal number of sentinel hosts to introduce for a given sampling effort, as well as the optimal division of limited surveillance resources between crop and sentinel plants. …”
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The Two-Stage Alzheimer’s Disease Automatic Diagnosis Algorithm Based on ST-MBV3 Model by Guiping Li, Zhenhao Jin, Minghui Deng, Junjie Gong, Piaoyi Zheng

“…Recent developments in medical imaging technologies, particularly magnetic resonance imaging (MRI), alongside the application of artificial intelligence (AI), have provided new avenues for improving the early detection and diagnosis of AD. This study focuses on leveraging these advancements to enhance the accuracy of AD diagnosis through a novel two-stage algorithm. …”
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An evolutionary model-based algorithm for accurate phylogenetic breakpoint mapping and subtype prediction in HIV-1. by Sergei L Kosakovsky Pond, David Posada, Eric Stawiski, Colombe Chappey, Art F Y Poon, Gareth Hughes, Esther Fearnhill, Mike B Gravenor, Andrew J Leigh Brown, Simon D W Frost

“…Computational identification of such subtypes is helpful in surveillance, epidemiological analysis and detection of novel variants, e.g., circulating recombinant forms in HIV-1. …”
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KNN algorithm for accurate identification of IFP lesions in the knee joint: a multimodal MRI study by Peng Zhou, Zhenyan Liu, Jiang Dai, Ming Yang, He Sui, Zhaoshu Huang, Yu Li, Lingling Song

“…This study presents a novel approach for identifying infrapatellar fat pad (IFP) lesions using the K-Nearest Neighbor (KNN) algorithm in combination with multimodal Magnetic Resonance Imaging (MRI) techniques, specifically mDxion-Quant (mDQ) and T2 mapping (T2m). …”
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A tree crown edge-aware clipping algorithm for airborne LiDAR point clouds by Shangshu Cai, Yong Pang

“…., rectangles), we develop a tree crown edge-aware (E-A) point cloud clipping algorithm, named E-A algorithm. Firstly, the crown edge and distance features are enhanced and quantified using mathematical morphology and nearest neighbor pixel methods. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Application of such algorithms include automate segmentation, lesion detection, and real-time image analysis, optimizing dose parameters based on patient-specific factors, thus prioritizing patient safety and treatment effectiveness while revolutionizing medical imaging. …”
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A Real-Time Video Watermarking Algorithm for Authentication of Small-Business Wireless Surveillance Networks by Shaohui Liu, Daniel Bo-Wei Chen, Long Gong, Wen Ji, Sanghyun Seo

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Towards an RFI Mitigation Algorithm in Synthetic Aperture Interferometer Radiometry: Application to the SMOS Space Mission by Ali Khazaal

“…The second step employs a modified version of the previous algorithm, incorporating a dynamic, source-specific search to detect and correct residual interferences. …”
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Evaluation Method for Running State of Electricity Meters Based on Random Matrix Theory and Clustering Algorithm by Yingying CHENG, Jie DU, Quan ZHOU, Jiaming ZHANG, Xiaoyong ZHANG, Gang LI

“…Based on the principle of big data mining analysis, this paper proposes a method based on random matrix theory and clustering algorithm to evaluate the running state of electric energy meter. …”
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Algorithm of appointment (examination; consultation) of patients under follow-up care by a general practitioner by R. N. Shepel, P. V. Ipatov, L. Yu. Drozdova, А. M. Kalinina, M. M. Lukyanov, S. Yu. Martsevich, O. M. Drapkina

“…The accumulation; adjustment; and systematization of the obtained results were carried out in Microsoft Office Excel 2016 spreadsheets.The algorithm for a dispensary appointment (examination; consultation) by a general practitioner consists of 9 following modules: patient intake; physical examination; assessing the achievement of health targets; assessing the risk of adverse events; assessing the results of consultations with specialists; establishing or clarifying the diagnosis of a disease (condition); prescribing preventive; diagnostic; therapeutic; and rehabilitation measures for medical reasons; informing the patient about the appointment (examination; consultation); preparing medical documentation.The developed algorithm contains systematized information on the activities within appointment (examination; consultation) of patients under follow-up care by a general practitioner; which will allow for the full implementation of prevention and timely detection of complications or exacerbations of diseases (conditions); treatment adjustment; reduction in the number of urgent hospitalizations; implementation of medical rehabilitation; therapeutic and preventive and health resort treatment.…”
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Performance Evaluation of Magnetic Wireless Sensor Networks Algorithm for Traffic Flow Monitoring in Chaotic Cities by Haji Said Fimbombaya, Nerey H. Mvungi, Ndyetabura Y. Hamisi, Hashimu U. Iddi

“…To extract such information in chaotic cities, a novel algorithm based on the resulting magnetic field distortion was developed using nonintrusive sensor localization. …”
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Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 by Yanxing Liu, Xudong Li, Ruyu Qiao, Yu Chen, Xueliang Han, Agyemang Paul, Zhefu Wu

“…These include the high complexity of existing algorithms, limited availability of UAV images, and persistent issues with false positives and missed detections. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…Furthermore, we have incorporated a tailored Differential Evolution (DE) algorithm designed to navigate the complex hyperparameter space with finesse. …”
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Detection of sleep apnea using smartphone-embedded inertial measurement unit by Junichiro Hayano, Masahiro Takeshima, Aya Imanishi, Masaya Ogasawara, Yasuko Yamada, Emi Yuda, Kazuo Mishima

“…Data were split into training and test groups (2:1) for each device. An algorithm was developed in the training groups to extract respiratory movements (0.13–0.70 Hz) and detect respiratory events, which were validated in the test groups. …”
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Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

“…Recently, to improve detection accuracy in inclement weather, some excellent specifically designed algorithms for foggy conditions have been presented to identify objects from hazy images. …”
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Enhancing CNN-based network intrusion detection through hyperparameter optimization by Antanios Kaissar, Ali Bou Nassif, Bassel Soudan, MohammadNoor Injadat

“…Abstracts: This research investigates the optimization of hyperparameters in Convolutional Neural Networks (CNNs) to enhance the performance of Network Intrusion Detection Systems (NIDS). Four distinct optimization techniques, including Grid Search (GS), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO), are rigorously examined. …”
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Iterative Assessment of Edge Criticality: Efficiency Enhancement or Hidden Insufficiency Detection by Vasily Lubashevskiy, Hamza Ejjbiri, Ihor Lubashevsky

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Bilingual hate speech detection on social media: Amharic and Afaan Oromo by Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh

“…According to the experiment, BiLSTM with FastText feature extraction is an outperforming the other algorithm by achieving a 78.05% accuracy for Bilingual Amharic Afaan Oromo hate speech detection. …”
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IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

“…Results show Random Forest algorithm outperforms enough to use this methodology in smart environments.…”
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Automatic Paddy Planthopper Detection and Counting Using Faster R-CNN by Siti Khairunniza-Bejo, Mohd Firdaus Ibrahim, Marsyita Hanafi, Mahirah Jahari, Fathinul Syahir Ahmad Saad, Mohammad Aufa Mhd Bookeri

“…Therefore, this research presents a comprehensive assessment of an object detection algorithm specifically developed to precisely detect and quantify planthoppers. …”
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