A semantic segmentation framework with UNet-pyramid for landslide prediction using remote sensing data by Arush Kaushal, Ashok Kumar Gupta, Vivek Kumar Sehgal

“…Currently, Deep Learning is constrained by the lack of applicability, lack of data, and low efficiency in landslide detection but with recent advancement in deep learning-based solutions for landslide detection has sparked considerable advantages over traditional techniques. …”
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Invulnerability invariants for software controlled speculation by Nimish Mathure, Sudarshan K. Srinivasan, Kushal K. Ponugoti

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Effect of integrating traditional and modern healthcare systems on tuberculosis case detection in Ethiopia: a cluster randomized controlled study by Desalegne Amare, Kefyalew Addis Alene, Fentie Ambaw

“…The interventions included training, screening, and referral of presumptive TB patients, delivered over one year, while the control group continued with the standard passive case detection approach. A paired t-test and two sample independent t-test were used to compare baseline and end line data for both groups. …”
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Multi-cancer early detection tests for general population screening: a systematic literature review by Ros Wade, Sarah Nevitt, Yiwen Liu, Melissa Harden, Claire Khouja, Gary Raine, Rachel Churchill, Sofia Dias

“…Data on the intervention(s), participant characteristics, setting, study design, reference standard test(s) used and relevant outcomes were extracted by one reviewer and independently checked by a second. …”
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RECLAIM—A retrospective, multicenter observational study aimed at enabling the development of artificial intelligence-driven prognostic models for disease progression in multiple s... by Jelle Praet, Lina Anderhalten, Giancarlo Comi, Giancarlo Comi, Dana Horakova, Tjalf Ziemssen, Patrick Vermersch, Carsten Lukas, Koen Van Leemput, Koen Van Leemput, Koen Van Leemput, Marjan Steppe, Noemí Manero, Ella Kadas, Alexis Bernard, Jean van Rampelbergh, Erik de Boer, Vera Zingler, Dirk Smeets, Annemie Ribbens, Friedemann Paul, Friedemann Paul, Friedemann Paul, Friedemann Paul, Friedemann Paul

“…As many regulatory-cleared disease-modifying treatments aiming to slow down this progression are now available, a clear need has arisen for a personalized and data-driven approach to treatment optimization in order to more efficiently slow down disease progression and eventually, progressive disability worsening. …”
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Burden and predictors of peripheral neuropathy among cultivators and laborers using biothesiometer at primary healthcare setting: A cross-sectional study from Nutakkhi, Guntur, And... by Shanmukh Krishna Kopuru, Arti Gupta, K Mohammed Shoyaib, Rajeev Aravindakshan, Nalukurthi Midhun Teja

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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…The intensive care unit (ICU), a data-rich setting, faces challenges with high-frequency, unstructured monitor data. …”
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Adaptive, Privacy-Enhanced Real-Time Fraud Detection in Banking Networks Through Federated Learning and VAE-QLSTM Fusion by Hanae Abbassi, Saida El Mendili, Youssef Gahi

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Primates decline rapidly in unprotected forests: evidence from a monitoring program with data constraints. by Francesco Rovero, Arafat Mtui, Amani Kitegile, Philipo Jacob, Alessandro Araldi, Simone Tenan

“…The hierarchical Bayesian model formulation adopted provides a flexible tool to determine temporal trends with full account for any imbalance in the data set and for imperfect detection.…”
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FRAM—The Robotic Telescope for the Monitoring of the Wavelength Dependence of the Extinction: Description of Hardware, Data Analysis, and Results by Michael Prouza, Martin Jelínek, Petr Kubánek, Jan Ebr, Petr Trávníček, Radomír Šmída

“…The hardware setup of the telescope, its software system, data taking procedures, and results of analysis are described in this paper.…”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…Validation tests were conducted using a set of 13 IQ criteria and their corresponding metrics. …”
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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…Three data sources are considered: an uncalibrated numerical model, a calibrated model, and a data-driven set of modal parameters. …”
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Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming by Abhishek Raghuvanshi, Umesh Kumar Singh, Guna Sekhar Sajja, Harikumar Pallathadka, Evans Asenso, Mustafa Kamal, Abha Singh, Khongdet Phasinam

“…In this framework, the NSL KDD data set is used as an input data set. In the preprocessing of the NSL-KDD data set, first all symbolic features are converted to numeric features. …”
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Recovering Pulsar Periodicity from Time-of-arrival Data by Finding the Shortest Vector in a Lattice by Dotan Gazith, Aaron B. Pearlman, Barak Zackay

“…Identifying such a periodicity from a discrete set of arrival times is a difficult algorithmic problem, In particular when the pulsar is in a binary system. …”
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Comparison of cone beam-computed and micro-computed tomography data for measuring facial canal dehiscence by Mert Ocak, Ferhat Geneci, Bilge İpek Torun, Mehmet Fatih Şentürk, Emine Şebnem Kurşun Çakmak

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Detection of soluble solid content in table grapes during storage based on visible-near-infrared spectroscopy by Yuan Su, Ke He, Wenzheng Liu, Jin Li, Keying Hou, Shengyun Lv, Xiaowei He

“…The model, which incorporated filtered characteristic wavelength spectral data obtained through CARS following standard normal variate (SNV) preprocessing yielded optimum results with the correlation coefficients of the calibration set (RC), and the prediction set (RP) were 0.956 and 0.940, respectively. …”
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OTFS-Based Physical Layer Authentication for UAV-Assisted Data Collection in Wireless Sensor Network by Agnes Francis Kawoya, Hua Wang

“…Henceforth, we derive the probability density function (PDF) expressions of false alarm and missed detection. The PDF of the false alarm and missed detection are the basis for setting an optimal detection threshold for the authentication hypothesis test. …”
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P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

“…Secondly, after analyzing the image set characteristics to be detected in this research, the point-line distance bounding box loss function is utilized to calculate the coordinate distance of the prediction box and target box, and aimed at improving detection speed. …”
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4D Radar Imaging and Camera Fusion for Road Crossing Detection and Classification Using Deep Learning by Liyaana Shahirah Wan Abd Aziz, Farah Nadia Mohd Isa, Faridah Abd Rahman, Arvind Hari Narayanan, Ahmad Reza Alghooneh, George Shaker

“…Dua adegan lintasan jalan disimulasikan untuk mengumpul data, menghasilkan set data awan titik yang dilabel dengan kelas sasaran untuk latihan dan ujian rangkaian neural. …”
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Machine Learning for Monoclonal Gammopathies of Renal Significance Risk Stratification Using Clinical and Pathology Data by Giorgio Cazzaniga, Giulia Capitoli, Raffaella Barretta, Andrew Smith, Gisella Vischini, Giuliana Papalia, Federico Alberici, Federica Mescia, Albino Eccher, Jan Ulrich Becker, Maarten Naesens, Lucrezia Furian, Bernd Schröppel, Stefania Galimberti, Fabio Pagni, Vincenzo L'Imperio

“…Introduction: The prompt detection of monoclonal gammopathies of renal significance (MGRS) is clinically relevant for the initiation of chemotherapy. …”
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