Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications by Mohammad Kamrul Hasan, Shayla Islam, Rossilawati Sulaiman, Sheroz Khan, Aisha-Hassan Abdalla Hashim, Shabana Habib, Mohammad Islam, Saleh Alyahya, Musse Mohamed Ahmed, Samar Kamil, Md Arif Hassan

“…Numerous test images have been used to determine the performance of the proposed algorithm. Several experiments show that the proposed algorithm for image cryptosystems provides better efficiency than conventional techniques.…”
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Theoretical and Numerical Study for Volterra−Fredholm Fractional Integro-Differential Equations Based on Chebyshev Polynomials of the Third Kind by Zineb Laouar, Nouria Arar, Abdellatif Ben Makhlouf

“…A Chebyshev−Gauss quadrature is involved to evaluate integrals for more precision. Two types of equations are studied to obtain algebraic systems solvable using the Gauss elimination method for linear equations and the Newton algorithm for nonlinear ones. …”
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ICA-based Single Channel Audio Separation: New Bases and Measures of Distance by Dariusz MIKA, Piotr KLECZKOWSKI

“…An algorithm for clustering of components is presented. …”
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Real-time ocean wave prediction in time domain with autoregression and echo state networks by Karoline Holand, Henrik Kalisch

“…The performance of these models is evaluated on time series data at different water depths and wave conditions, including both measured and simulated data with a focus on real-time prediction of ocean waves at a given location without resolving for the surrounding ocean surface, in other words, short-time single-point forecasting. …”
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Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM by DING Xiaofeng, ZHANG Yuhua

“…Finally, the importance of such features was evaluated by the RF algorithm, and the sensitive features with high importance were selected to form the optimal feature subset as the input to SVM for fault pattern recognition. …”
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Progressive active inference method of protocol state machine by Yan PAN, Wei LIN, Yuefei ZHU

“…Protocol state machine active inference is a technique that relies on active automata learning.However, the abstraction of the alphabet and the construction of the mapper present critical challenges.Due to the diversity of messages of the same type, the response types of the same type are different, causing the method of regarding the message types as the alphabet will result in the loss of states or state transitions.To address the issue, message types were refined into subtypes according to the different responses and a progressive active inference method was proposed.The proposed method extracted the state fields from the existing protocol data to construct the initial alphabet and the mapper, and obtained the initial state machine based on active automata learning.It then mutated the existing messages to explore the response sequences, which were inconsistent with the current state machine.The mutated message was regarded as a protocol subtype and added to the alphabet, and a new state machine was inferred progressively based on the new alphabet.In order to reduce the interactions, a pre-response query algorithm was proposed based on prefix matching for the caching mechanism in the active automata learning.The ProLearner tool was utilized to evaluate the proposed method in the context of the SMTP and RSTP protocols.It is verified that the pre-response query method can effectively reduce the number of actual interactions, with an average reduction rate of about 10%.…”
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Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

“…Finally, we compare the efficacy of four qualitatively different algorithms, including two newly introduced methods. …”
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Unmanned aerial vehicle field sampling and antenna pattern reconstruction using Bayesian compressed sensing by Sayeh Mirzaei, Alireza Gholipour

“…Discrete cosine Transform (DCT) is utilized for sparsifying the antenna patterns. Performance is evaluated by obtaining the reconstructed patterns for different antenna types. …”
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Rapid Lactic Acid Content Detection in Secondary Fermentation of Maize Silage Using Colorimetric Sensor Array Combined with Hyperspectral Imaging by Xiaoyu Xue, Haiqing Tian, Kai Zhao, Yang Yu, Ziqing Xiao, Chunxiang Zhuo, Jianying Sun

“…Lactic acid content is a crucial indicator for evaluating maize silage quality, and its accurate detection is essential for ensuring product quality. …”
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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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ThresholdFP: Enhanced Durability in Browser Fingerprinting by Elif Ecem Samlioglu, Sinan Emre Tasci, Muhammed Fatih Gulsen, Albert Levi

“…We propose, a novel linking algorithm designed to extend the durability of browser fingerprints without compromising precision. …”
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Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…Duration of intravenous antibiotics was not significantly different between the procalcitonin group (median 96.0 hours) and the usual care group (median 99.7 hours) [hazard ratio = 0.96 (0.87, 1.05)], and the procalcitonin-guided algorithm was non-inferior to usual care [risk difference = −0.81% (95% confidence interval upper bound 1.11%)]. …”
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Method of continuous generation grinding tooth surface modification based on electronic gearbox superimposed high-order motion by HAN Jiang, RUI Xiaoyu, TIAN Xiaoqing, YOU Tongfei, LI Guanghui, XIA Lian

“…Using the normal deviation between the standard involute gear surface and the actual machined gear surface grid points as the evaluation criterion, the Levenberg-Marquardt algorithm was used to optimize the polynomial coefficients of the motion functions of each feed axis of the grinding wheel. …”
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Sintesis Dimensi Manipulator Paralel Bidang Dua Derajat Kebebasan Dengan Rantai Kinematik Paralelogram Simetris by Adriyan Adriyan

“…Here, GCI and GTI were evaluated on the useful workspace. Instead of using atlases of performance indices, a grid search evaluation was applied to obtain a region in PDS near the optimum values for both maximization cases. …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

“…Then, we used the Sinkhorn AutoDiff algorithm to iteratively optimize and solve the optimal transmission problem, achieving optimal matching between feature points. …”
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Automatic summarization of scientific articles: A survey by Nouf Ibrahim Altmami, Mohamed El Bachir Menai

“…Most of the valuable information in scientific articles is presented in tables, figures, and algorithm pseudocode. These elements, however, do not usually appear in a generic text. …”
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Comparative Analysis of Dedicated and Randomized Storage Policies in Warehouse Efficiency Optimization by Rana M. Saleh, Tamer F. Abdelmaguid

“…Given the complexity of the combined problem, a tailored Non-dominated Sorting Genetic Algorithm (NSGA-II) was developed to assess the performance of the two storage policies across various randomly generated test instances of differing sizes. …”
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Impact of the STFT Window Size on Classification of Grain-Oriented Electrical Steels from Barkhausen Noise Time–Frequency Spectrograms via Deep CNNs by Michal Maciusowicz, Grzegorz Psuj

“…Due to the automation of the search for diagnostic patterns, the stage of selecting transformation parameters becomes extremely important in the process of preparing training data for evaluation algorithms. This paper investigates the influence of the STFT computational window size on the material state evaluation results obtained using convolutional neural network (CNN). …”
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Selection and validation of reference genes for quantitative real-time PCR in the green microalgae Tetraselmis chui. by Sonia Torres, Carmen Lama, Lalia Mantecón, Emmanouil Flemetakis, Carlos Infante

“…Different rankings for the candidate reference genes were obtained depending on the culture conditions and the algorithm employed. …”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

“…The Enhanced Shrimp Detection algorithm generates the unique features set and also various parameters fetched from foundational classifiers. …”
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