Cost-Effectiveness of Automated Digital Microscopy for Diagnosis of Active Tuberculosis. by Swati Jha, Nazir Ismail, David Clark, James J Lewis, Shaheed Omar, Andries Dreyer, Violet Chihota, Gavin Churchyard, David W Dowdy

“…We considered costs and effectiveness of different algorithms for automated digital microscopy, including as a stand-alone test and with confirmation of positive results with Xpert MTB/RIF ('Xpert', Cepheid, Inc.). …”
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Intelligent production adjustment early warning for shale gas wells based on fuzzy logic control by HE Chunyan, ZHAO Yong, LI Nanying, YANG Jian, CAO Haitao, TANG Ronglin

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Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach by Seyed Ali Ahmadi, Arsalan Ghorbanian, Farshad Golparvar, Ali Mohammadzadeh, Sadegh Jamali

“…The source code of the proposed algorithm can be found at https://github.com/Seyed-Ali-Ahmadi/Graph-based_ITCD.…”
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Interdisciplinary model of patient care for groups at risk for malignant tumors of the skin by M. A. Ufimtseva, A. S. Shubina, V. V. Petkau, N. L. Struin, D. E. Emel'janov, E. A. Levchenko

“…Development, implementation and evaluation of the effectiveness of an interdisciplinary model for managing patients at risk for malignant skin tumors.Materials and methods. …”
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Monte carlo study of the effect of collimator thickness on T-99m source response in single photon emission computed tomography by Jalil Islamian, Mohammad Taghi Toossi, Mahdi Momennezhad, Seyyed Zakavi, Ramin Sadeghi, Michael Ljungberg

“…The current study is an evaluation of the effects of different thicknesses of a low-energy high-resolution (LEHR) collimator on tomographic spatial resolution in SPECT. …”
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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

“…This study proposed a machine learning-based anomaly detection approach for smart homes using different classifiers. Testing and evaluation are performed using the University of New South Wales (UNSW) BoT IoT dataset. …”
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Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning by Matthias Gassilloud, Barbara Koch, Anna Göritz

“…We conducted 44 flights with a DJI Matrice 300 RTK UAV and a DJI Zenmuse L1 LiDAR sensor, with different combinations of flight speed, azimuthal flight directions, sensor tilt angles, and scan patterns. …”
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CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer by Abdollah Amirkhani, Seyed Alireza Khoshnevis

“…More accurate tracking and lower identity switches make this algorithm more suitable to be used in the field of autonomous driving. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…This study proposes a systematic framework, termed VMD-RUN-Seq2Seq-Attention, for noise reduction, outlier detection, and wind speed prediction by integrating Variational Mode Decomposition (VMD), the Runge–Kutta optimization algorithm (RUN), and a Sequence-to-Sequence model with an Attention mechanism (Seq2Seq-Attention). …”
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Calibration and Validation of Phase One Industrial Cameras by R. Ladstädter, K. Gutjahr, R. Perko, H. Woschitz

“…Although correctness and quality of the Phase One calibration workflow could be confirmed, small but significant differences exist and can only be explained using various hypothesis e.g. about the influence of different environmental conditions during calibration. …”
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GrotUNet: a novel leaf segmentation method by Hongfei Deng, Hongfei Deng, Bin Wen, Bin Wen, Cheng Gu, Yingjie Fan

“…Compared with UNet++, GrotUNet improves the key evaluation metrics (SBD) by 0.57%, 0.30%, and 0.27%, respectively.…”
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Rudraksh: A compact and lightweight post-quantum key-encapsulation mechanism by Suparna Kundu, Archisman Ghosh, Angshuman Karmakar, Shreyas Sen, Ingrid Verbauwhede

“…We have done a scrupulous and extensive analysis and evaluation of different design elements, such as polynomial size, field modulus structure, reduction algorithm, and secret and error distribution of an LWE-based KEM. …”
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Generating MODIS hourly land surface temperature under clear sky conditions using Fourier series analysis by Hadi Zare Khormizi, Mohammad Jafari, Hamidreza Ghafarian Malamiri, Ali Tavili, Hamidreza Keshtkar

“…The developed Fourier series model was evaluated using hourly LST data from Meteosat-9 and ground surface soil temperature data at eight different Ameriflux sites. …”
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Seismic Performance Assessment of Optimal Tandem-Based Tuned Mass Damper Inerters by Maziar Fahimi Farzam, Shahram Ajori, Himan Hojat Jalali, Rim Najmeddine

“…The optimum design of all the studied configurations was determined by the particle swarm optimization (PSO) algorithm. The evaluation of the performances included the effectiveness in the frequency domain and that of the norm and maximum reduction in the displacement and absolute acceleration in the time domain under 21 earthquake records with different characteristics. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The BP neural network algorithm adjusts weights to minimize prediction errors, while multi-scale feature learning captures the diversity and regularity of user behavior by extracting data from various time dimensions, such as daily, weekly, and monthly intervals. …”
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Impedance Characterization and Modeling of Gold, Silver, and PEDOT:PSS Ultra-Thin Tattoo Electrodes for Wearable Bioelectronics by Antonello Mascia, Riccardo Collu, Nasreddine Makni, Mattia Concas, Massimo Barbaro, Piero Cosseddu

“…This study presents a comprehensive evaluation and an equivalent circuit modeling of the skin–electrode impedance characteristics of three types of ultra-thin tattoo electrodes, all based on Parylene C nanofilms but with different active materials: Gold, Silver, and PEDOT:PSS. …”
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DETECTION OF CURRENT CIRCUITS FAULT FOR DIFFERENTIAL CURRENT PROTECTION by M. S. Loman, V. S. Kachenya

“…The time characteristics of the algorithm have been determined by the method of computational experiment with the of the MatLab Simulink simulation environment.…”
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Assessment of a Smartphone-Based Neural Network Application for the Risk Assessment of Skin Lesions under Real-World Conditions by Teresa Maria Kränke, Philipp Efferl, Katharina Tripolt-Droschl, Rainer Hofmann-Wellenhof

“…Mobile phone applications with integrated artificial intelligence (AI) are an understudied area. Objective: We evaluated the risk assessment of the SkinScreener (Medaia GmbH, Graz, Austria) AI-based algorithm in comparison to an expert panel of 3 dermatologists. …”
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Enhancing ROP plus form diagnosis: An automatic blood vessel segmentation approach for newborn fundus images by José Almeida, Jan Kubicek, Marek Penhaker, Martin Cerny, Martin Augustynek, Alice Varysova, Avinash Bansal, Juraj Timkovic

“…The segmentation pipeline is combined with different pre-trained Convolution Neural Network architectures to evaluate its automatic classification capabilities. …”
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Estimation of grasp type and determining grasping points for Adaptive Grasping Device by Michał Czubenko, Piotr Łyczko, Rafał Okuński

“…Used methods have been tested manually on 15 different objects. GPA algorithm has been evaluated in realworld tests as well. …”
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