Thermal-Aware Multiconstrained Intrabody QoS Routing for Wireless Body Area Networks by Muhammad Mostafa Monowar, Mohammad Mehedi Hassan, Fuad Bajaber, Md. Abdul Hamid, Atif Alamri

“…The route selection algorithm of TMQoS selects forwarder(s) based on the intended QoS demands of diverse traffic classes. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. We propose an algorithm that allows an effective and intuitive approximation of the PPO-trained neural network (NN). …”
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Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

“…In this respect, this paper presents a study of three algorithms (Decision Tree, Random Forest and Adaboost) for predicting the outcome (cure or death) of individuals with leptospirosis. …”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Abstract To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing image super-resolution reconstruction model. …”
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HIGH-EFFICIENCY INFRARED RECEIVER by A. K. Esman, V. I. Kostenko, N. I. Mukhurov, G. L. Zykov, V. A. Potachits

“…Simulation of the electromagnetic characteristics of the proposed receiver by using the software package HFSS with the basic algorithm of a finite element method which implemented to calculate the behavior of electromagnetic fields on an arbitrary geometry with a predetermined material properties have shown that when the inner parts of the electrodes of the low-barrier Schottky diode is performed in the concentric elliptical convex-concave shape, it can be reduce the reflection losses to -57.75 dB and the standing wave ratio to 1.003 while increasing the directivity up to 23 at a wavelength of 6.09 μm. …”
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Automated Global Classification of Surface Layer Stratification Using High‐Resolution Sea Surface Roughness Measurements by Satellite Synthetic Aperture Radar by Justin E. Stopa, Chen Wang, Doug Vandemark, Ralph Foster, Alexis Mouche, Bertrand Chapron

“…An automated machine learning algorithm identifies the coherent structures impressed on the images. …”
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Design and application of depth control methods for autonomous underwater profilers in challenging marine environments by Isabel P. Morales-Aragón, Jaime Giménez-Gallego, Javier Gilabert, Roque Torres-Sánchez, Fulgencio Soto-Valles

“…The first methodology uses a simple PID control algorithm to manage depth via thrusters, suitable for marine environments where fouling is minimal. …”
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Support Vector Machine (SVM) based Detection for Volumetric Bandwidth Distributed Denial of Service (DVB-DDOS) attack within gigabit Passive Optical Network by Sumayya Bibi, Nadiatulhuda Zulkifli, Ghazanfar Ali Safdar, Sajid Iqbal

“…The dynamic bandwidth allocation (DBA) algorithm is highly impactful in improving the network performance of gigabit passive optical networks (GPON). …”
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Identification of Unknown Parameters and Orders via Cuckoo Search Oriented Statistically by Differential Evolution for Noncommensurate Fractional-Order Chaotic Systems by Fei Gao, Xue-Jing Lee, Heng-qing Tong, Feng-xia Fei, Hua-ling Zhao

“…Simulations are done to estimate a series of noncommensurate and hyper fractional chaotic systems with the new approaches based on CSODE, the cuckoo search, and Genetic Algorithm, respectively. The experiments’ results show that the proposed identification mechanism based on CSODE for fractional orders and parameters is a successful method for fractional-order chaotic systems, with the advantages of high precision and robustness.…”
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Effect of Admixture on the Hydraulic Conductivity of Compacted Loess: A Case Study by Pan Liu, Xuejiao Zhang, Min Zhang, Xueqiang Yang

“…The test results revealed that the admixture of lime could obviously decrease ksat of pure loess and 3% might be the most economical content. An empirical algorithm was proposed based on the results to estimate ksat of lime-treated loess of which the lime content is out of the scope studied in this paper, and it would be useful for engineering design and numerical simulation of safety evaluation. …”
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Social-aware routing for cognitive radio–based vehicular ad hoc networks by Jing Wang, Huyin Zhang, Xing Tang, Sheng Hao

“…Moreover, we develop a social community partition algorithm to divide secondary users into intra-community and inter-community groups. …”
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CAECENET: An automatic system processing photometer and ceilometer data from different networks to provide columnar and vertically-resolved aerosol properties. by Celia Herrero Del Barrio, Roberto Román, Ramiro González, Alberto Cazorla, Marcos Herreras-Giralda, Juan Carlos Antuña-Sánchez, Francisco Molero, Francisco Navas-Guzmán, Antonio Serrano, María Ángeles Obregón, Yolanda Sola, Marco Pandolfi, Sara Herrero-Anta, Daniel González-Fernández, Jorge Muñiz-Rosado, David Mateos, Abel Calle, Carlos Toledano, Victoria E Cachorro, Ángel M de Frutos

“…This work introduces CAECENET, a new system capable of automatically retrieving columnar and vertically-resolved aerosol properties running the GRASP (Generalized Retrieval of Atmosphere and Surface Properties) algorithm using sun-sky photometer (aerosol optical depth, AOD; and sky radiance measurements) and ceilometer (range corrected signal; RCS) data as input. …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…During the machine learning phase, feature selection from the extracted features was carried out using the J48 decision tree algorithm. Post selection of features, three families of classifiers such as tree, Bayes, and lazy were applied to determine the best feature extractor-classifier pair. …”
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Optimal transmission for scalable video coded streaming in cellular wireless networks with the cooperation of local peer-to-peer network by Guangsheng Feng, Junyu Lin, Qian Zhao, Huiqiang Wang, Hongwu Lv, Bingyang Li, DongDong Su

“…Furthermore, a primal-dual decomposition approach is developed and a distributed algorithm is proposed accordingly. Simulation results show that the proposed approach achieves a near-optimal solution.…”
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Potential Locations of Strong Earthquakes in Bulgaria and the Neighbouring Regions by Alexander I. Gorshkov, Olga V. Novikova, Sonya Y. Dimitrova, Lyuba D. Dimova, Reneta B. Raykova

“…The CORA-3 pattern recognition algorithm identified 59 seismogenic nodes analysing a set of geophysical and geological node’s characteristics. …”
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Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility by Oscar Alvear, Nicola Roberto Zema, Enrico Natalizio, Carlos T. Calafate

“…These UAVs are guided by our proposed Pollution-driven UAV Control (PdUC) algorithm, which is based on a chemotaxis metaheuristic and a local particle swarm optimization strategy. …”
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Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

“…In the literature, several popular algorithms can be found to carry out the automatic classification of signals. …”
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An Autonomous Positioning Method for Drones in GNSS Denial Scenarios Driven by Real-Scene 3D Models by Yongqiang Cui, Xue Gao, Rui Yu, Xi Chen, Dingwen Wang, Di Bai

“…Subsequently, real-time image capture is performed using the monocular camera mounted on the drone, followed by a preliminary position estimation conducted through image matching algorithms and subsequent 3D point cloud reconstruction utilizing the acquired images. …”
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A Data Mining Approach Identified Salivary Biomarkers That Discriminate between Two Obesity Measures by Ping Shi, J. Max Goodson

“…Subsequently, the subset of top-ranking variables that were identified with at least three algorithms was evaluated by classification performance using receiver operating characteristic (ROC) analysis with bootstrap percentile resampling. …”
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An Effective Manifold Learning Approach to Parametrize Data for Generative Modeling of Biosignals by Lorenzo Manoni, Claudio Turchetti, Laura Falaschetti

“…The source code of the algorithm for unsupervised learning of data is available at <uri>https://codeocean.com/capsule/6692152/tree/v3</uri>.…”
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