Design and Implementation of Software for Ship Monitoring System in Offshore Wind Farms by Bernard Marie Tabi Fouda, Dezhi Han, Bowen An, Xiangzhi Chen, Sixi Shen

“…The localization method and the warning zone judgment algorithm are used to carry out the vessel position around the offshore wind farm area. …”
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Early repolarization syndrome in modern interpretation by T. V. Ashcheulova, N. M. Herasymchuk, I. V. Sytina

“…Objective is to generalize the data of experimental and clinical studies which have found that the early repolarization syndrome is an idiopathic electrocardiographic phenomenon, which is considered by various specialists ambiguously; to assess the state of the cardiovascular system in the subjects, both adults and children with early repolarization syndrome, and to propose a diagnostic algorithm for detecting this phenomenon on the ECG when admitting to physical exercise and sports. …”
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Continuous and Unconstrained Tremor Monitoring in Parkinson’s Disease Using Supervised Machine Learning and Wearable Sensors by Fernando Rodriguez, Philipp Krauss, Jonas Kluckert, Franziska Ryser, Lennart Stieglitz, Christian Baumann, Roger Gassert, Lukas Imbach, Oliver Bichsel

“…We developed and implemented a supervised machine learning algorithm, trained and tested on tremor scores. We evaluated the algorithm on a 67-hour database comprising sensor data and clinical tremor scores for 24 Parkinson patients at four extremities for periods of about 3 hours. …”
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Application of radiomics-based prediction model to predict preoperative lymph node metastasis in prostate cancer: a systematic review and meta-analysis by Yanghuang Zheng, Yuelin Du, Biao Zhang, Helin Zhang, Panfeng Shang, Zizhen Hou

“…No threshold effect was detected. The subgroup analysis showed that the least absolute shrinkage and selection operator regression algorithm had the higher diagnostic sensitivity, with a pooled sensitivity of 0.96 (95% CI [0.90 - 1.00]) (p = 0.02), while the random forest algorithm was the opposite, with a pooled sensitivity of 0.48 (95% CI [0.16 - 0.80]) (p = 0.01). …”
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Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning by Hasballah Zakaria, Elsa Sari Hayunah Nurdiniyah, Astri Maria Kurniawati, Dziban Naufal, Nana Sutisna

“…This work also details the method covering data set preparation, algorithm and design parameters exploration for pre-processing ECG signals, features extraction and selection, and hyper parameter tuning for employed machine learning methods. …”
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A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…We then subject the neural network to multiple test scenarios featuring noisier measurements and bad data to evaluate the robustness of our algorithm. …”
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Deadline-Aware Scheduling Perspectives in Industrial Wireless Networks: A Comparison between IEEE 802.15.4 and Bluetooth by Mario Collotta, Giovanni Pau, Gianfranco Scatà

“…Although it is difficult to fully replace wired networks, wireless communication protocols have features which could undeniably affect in positive way the production mechanisms in factories. …”
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Paget’s disease of the breast (a review of literature) by E. A. Nikitina, M. I. Nechushkin, A. V. Trigolosov, Ya. V. Vishnevskaya

“…The use of modern methods of instrumental and molecular diagnostics can help designed algorithm the treatment of PD.In this literature review the etiology, clinical features and current approaches to diagnosis and possible treatment of PD of the nipple.…”
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Intelligent deep learning-based dual-task approach for robust power quality event classification by Lipsa Ray, Pampa Sinha, Siddhanta Pani, Anshuman Nayak, Kaushik Paul, Chitralekha Jena, Md. Minarul Islam, Taha Selim Ustun

“…The methodology integrates the tunable-Q wavelet transform (TQWT) for signal decomposition, optimizing Q-factor parameters to extract precise features, and morphological component analysis (MCA) with the Split Augmented Lagrangian Shrinkage Algorithm (SALSA) for effective component separation. …”
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Implementasi Algoritma Haversine Pada Absensi Kepegawaian Berbasis Android by Hidayatul Sidiq, Deni Satria, Humaira

“…However, errors often occur during scanning because the scanner cannot detect someone's finger when the scanner is dirty. …”
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A model for maxilloturbinate morphogenesis in seals. by Jonathan E Kings, Lars P Folkow, Øyvind Hammer, Signe Kjelstrup, Matthew J Mason, Fengzhu Xiong, Eirik G Flekkøy

“…Under a small set of geometrical and physical rules, our model reproduces key features of the patterns observed in the turbinate structure of three seal species. …”
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Validity and informativity enhancement of ultrasonic testing of cast parts of railway rolling stock by A. N. Kireev, Y. K. Sklifus, M. A. Kireeva

“…To determine the shape of a defect, a dualfrequency defectometry method is proposed. Its principle, algorithm and implemented analytical dependencies are described. …”
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Seismic clusters and fluids diffusion: a lesson from the 2018 Molise (Southern Italy) earthquake sequence by Stefania Gentili, Piero Brondi, Giuliana Rossi, Monica Sugan, Giuseppe Petrillo, Jiancang Zhuang, Stefano Campanella

“…We performed a further analysis of the spatio-temporal pattern of seismicity in Molise, using the Principal Component Analysis (PCA), the ETAS algorithm, as well as other analyses, aimed at detecting possible migration and diffusion signals. …”
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Dual Gm-APD Polarization Lidar to Acquire the Depth Image of Shallow Semitransparent Media With a Wide Laser Pulse by Lu Xu, Xu Yang, Long Wu, Chenfei Jin, Yijia Zhang

“…An experiment of real shallow water layer with different depth features is also performed to verify the result.…”
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Unregistered Biological Words Recognition by Q-Learning with Transfer Learning by Fei Zhu, Quan Liu, Hui Wang, Xiaoke Zhou, Yuchen Fu

“…As the identification process can be viewed as a Markov process, we put forward a Q-learning with transfer learning algorithm to detect unregistered biological words from texts. …”
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Radar versus optical: The impact of cloud cover when mapping seasonal surface water for health applications in monsoon-affected India. by Gowri Uday, Bethan V Purse, Douglas I Kelley, Abi Vanak, Abhishek Samrat, Anusha Chaudhary, Mujeeb Rahman, France F Gerard

“…Also, the more detailed 10m resolution of Sentinel-1A SAR helped detect the many small water features missed by 30m JRC. …”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…The potential and accuracy of artificial neural networks (ANN), based on ML methods, are addressed based on validation toward literature data. In particular, to detect the best-performing data-driven ML model, the load-bearing capacity of LG beams (i.e., Fcr and dLT) is set as output response, while geometric properties (length, width, thickness) and material features (for glass and interlayers) are used as input variables. …”
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Updates on WHO 5th edition classification, molecular characteristics and tumor microenvironment of adrenocortical carcinomas by Yuto Yamazaki, Yuta Tezuka, Yoshikiyo Ono, Fumitoshi Satoh, Hironobu Sasano, Takashi Suzuki

“…The recently published WHO 5th edition “Endocrine and Neuroendocrine Tumours” recommends a diagnostic algorithm employing not only one but several proposed histopathological criteria—including the Weiss criteria and its revision and the Helsinki criteria—in addition to the Reticulin algorithm, the Ki-67 proliferative index, and others depending upon their histopathological features. …”
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Empirical Analysis of Honeybees Acoustics as Biosensors Signals for Swarm Prediction in Beehives by Kainat Iqbal, Bayan Alabdullah, Naif Al Mudawi, Asaad Algarni, Ahmad Jalal, Jeongmin Park

“…Swarm prediction can be done by visually inspecting hives, monitoring temperature, or analyzing acoustic features with machine learning. Acoustic monitoring is instrumental in detecting changes in colony behavior since it overcomes the constraints of visual inspections and is not affected by external factors like temperature. …”
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Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times’ Measurement in Heart Disease Diagnosis and Monitoring by Roberto De Fazio, Ilaria Cascella, Şule Esma Yalçınkaya, Massimo De Vittorio, Luigi Patrono, Ramiro Velazquez, Paolo Visconti

“…An adaptive segmentation algorithm was developed to segment PCG and ECG signals based on their morphological and temporal features. …”
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