Event-Based Visual/Inertial Odometry for UAV Indoor Navigation by Ahmed Elamin, Ahmed El-Rabbany, Sunil Jacob

“…Compared with the state-of-the-art U-SLAM algorithm, our approach achieves a substantial reduction in the mean positional error and RMSE in simulated environments, showing up to 50% and 47% reductions along the <i>x</i>- and <i>y</i>-axes, respectively. …”
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Identification of a gene regulatory network necessary for the initiation of oligodendrocyte differentiation. by Victoria A Swiss, Tung Nguyen, Jason Dugas, Adiljan Ibrahim, Ben Barres, Ioannis P Androulakis, Patrizia Casaccia

“…Among the increased 'TSA sensitive' genes we detected several transcription factors including Id2, Egr1, and Sox11, whose down-regulation is critical for OPC differentiation. …”
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A Model‐Independent Strategy for the Targeted Observation Analysis and Its Application in ENSO Prediction by Weixun Rao, Youmin Tang, Yanling Wu, Xiaojing Li

“…This newly developed model‐independent strategy makes it feasible to design a robust oceanic observational network for ENSO prediction even using the current targeted observational algorithm, well serving the goal of international Tropical Pacific Observation System 2020 project.…”
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Can self-rated health be useful to primary care physicians as a diagnostic indicator of metabolic dysregulations amongst patients with type 2 diabetes? A population-based study by K. Umeh, S. Adaji

“…Sensitivity analysis indicated most findings were unaffected by the type of algorithm used to manage missing data. SEM revealed no indirect associations between SRH, metabolic abnormalities, and lifestyle factors. …”
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Myocarditis Diagnosis Using Semi-Supervised Generative Adversarial Network and Differential Evolution by Haifeng Gui, Na Zhang

“…Alternatively, cardiac magnetic resonance (CMR) offers a non-invasive method to detect and monitor myocarditis, displaying myocardial involvement with high signal contrast. …”
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Validation Framework for Analyzing Complex Anatomical Structures: Application of L-System Models by Katarzyna Heryan, Jacek Tarasiuk, Janusz Skrzat

“…Accurate morphological and topological analysis of renal vascular trees is crucial for understanding vascular architecture, detecting patterns, and identifying pathological deviations. …”
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Multiple timescale variations in fronts in the Seto Inland Sea, Japan by M. Dong, X. Guo

“…Using a gradient-based algorithm with an advanced contextual feature-preserving median filter, we processed the high-resolution sea surface temperature dataset to detect and quantify tidal and thermohaline fronts. …”
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Development of a new method to track multiple honey bees with complex behaviors on a flat laboratory arena. by Toshifumi Kimura, Mizue Ohashi, Karl Crailsheim, Thomas Schmickl, Ryuichi Okada, Gerald Radspieler, Hidetoshi Ikeno

“…We have developed a new algorithm, K-Track, for tracking numerous bees in a flat laboratory arena. …”
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Multi-objective game for fighting against Distributed Reflection DoS attacks in software-defined network by Vianney Kengne Tchendji, Mthulisi Velempini, Priva Chassem Kamdem

“…It includes a player utility-based algorithm to detect malicious flows (or nodes) and drop them (or patch them). …”
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A multi-faceted review of wind turbine optimization techniques: Metaheuristics and related issues by Hegazy Rezk, Abdul Ghani Olabi, Tabbi Wilberforce, Enas Taha Sayed

“…This article comprehensively reviews the current optimization state for wind energy systems and examines the use of metaheuristic optimization algorithms. Metaheuristic optimization algorithms combine fundamental heuristic concepts with approximation approaches to effectively explore and utilize research space. …”
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Remote Sensing Tools for Monitoring Marine Phanerogams: A Review of Sentinel and Landsat Applications by Noelia Campillo-Tamarit, Juan Víctor Molner, Juan M. Soria

“…This study employed the PRISMA methodology to conduct a systematic review of the literature, with the objective of identifying articles focused on these seagrasses and their detection via satellite imagery. The identified methodologies included the use of vegetation and water indices, which were validated through empirical observations, as well as supervised classification algorithms, such as Random Forest, Maximum Likelihood, and Support Vector Machine. …”
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Experimental Assessment of Linear Sampling and Factorization Methods for Microwave Imaging of Concealed Targets by M. N. Akıncı, T. Çağlayan, S. Özgür, U. Alkaşı, M. Abbak, M. Çayören

“…In this regard, we propose an approach to relieve two well known shape reconstruction algorithms, which are the linear sampling and the factorization methods, from the requirement of the a priori knowledge on electrical parameters of the surrounding medium. …”
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Deep Learning in Finance: A Survey of Applications and Techniques by Ebikella Mienye, Nobert Jere, George Obaido, Ibomoiye Domor Mienye, Kehinde Aruleba

“…Machine learning (ML) has transformed the financial industry by enabling advanced applications such as credit scoring, fraud detection, and market forecasting. At the core of this transformation is deep learning (DL), a subset of ML that is robust in processing and analyzing complex and large datasets. …”
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Key frame extraction based abnormal vehicle identification technique using statistical distribution analysis by M. A. Y. Peer Mohamed Appa, V. Vanitha, Priti Rishi, Shrddha Sagar, M. Asha Paul

“…The experimental results are carried out using Car Accident Detection Dataset (CADP). For evaluating performance of KFEAVI, several algorithms are compared with the KFEAVI. …”
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Development of New Radar and Pyroelectric Sensors for Road Safety Increase in Cloud-Based Multi-Agent Control Application by Leslie Robert Adrian, Ansis Avotins, Donato Repole, Olegs Tetervenoks

“…The proposed sensor solutions can detect the road user (vehicle or pedestrian) and determine its movement direction and approximate speed that can be used for dynamic lighting control algorithms, traffic intensity prediction, and increased safety for both driver and pedestrian traffic. …”
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GastroHUN an Endoscopy Dataset of Complete Systematic Screening Protocol for the Stomach by Diego Bravo, Juan Frias, Felipe Vera, Juan Trejos, Carlos Martínez, Martín Gómez, Fabio González, Eduardo Romero

“…Abstract Endoscopy is vital for detecting and diagnosing gastrointestinal diseases. …”
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Real-time perception and intelligent early warning technology for power grid control operations based on multi-dimensional data fusion by Wei Li, Chao Hu, Bo Zhou, Weibo Peng

“…This technology integrates dynamic data from factories and stations, operation ticket content, and 3D virtual environment information, and uses deep learning and reinforcement learning algorithms to construct real-time perception and intelligent warning models. …”
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Trustworthiness of Deep Learning Under Adversarial Attacks in Power Systems by Dowens Nicolas, Kevin Orozco, Steve Mathew, Yi Wang, Wafa Elmannai, George C. Giakos

“…Emphasizing the inherent requirement of robust defense, this initiative lays the groundwork for follow-on initiatives to incorporate security and resilience into ML and DL algorithms and ensure mission-critical AI system dependability.…”
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Evaluating Security Anomalies by Classifying Traffic Using a Multi-Layered Model by Mohammadreza Samadzadeh, Najmeh Farajipour Ghohroud

“…In the second step, the proposed method uses the features extracted by the autoencoder from a hybrid deep-learning model based on the CNN and LSTM algorithms to classify network traffic. To evaluate the proposed method, the results of the proposed two-stage hybrid method is compared with comparative algorithms including decision tree, Naïve Bayes, random forest. …”
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Digital protection scheme based on Durbin Watson and Pearson similarity indices for current signals practically applied to power transformers by R. A. Mahmoud

“…A numerical protection technique for fault detection and imbalance assessment based the Durbin-Watson (DW) factors for three phase currents is proposed in this paper. …”
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