A compressed image encryption algorithm leveraging optimized 3D chaotic maps for secure image communication by Akshat Tiwari, Prachi Diwan, Tarun Dhar Diwan, Mahdal Miroslav, S. P. Samal

“…The method integrates three primary components: stacked autoencoder (SAE), optimized parameter-based chaotic mapping, and encryption/decryption module, to ensure robust and secure encryption of images. The result evaluated the proposed OptiSecure-3D image encryption algorithm with a randomness test, pixel adjacency correlation test, and differential analysis. …”
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Impossible 4-Tuple Attack: A New Mixture-Based Cryptanalysis Applied to Reduced-Round AES-128 by Masroor Hajari, Mahmoud Salmasizadeh, Javad Mohajeri, Siavash Ahmadi, Atiyeh Mirzaie

“…Mixture differential cryptanalysis is a powerful technique for evaluating the robustness of Substitution-Permutation Network (SPN)-structured block ciphers, including the Advanced Encryption Standard (AES). …”
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Construction and evaluation of yeast expression networks by database-guided predictions by Katharina Papsdorf, Siyuan Sima, Gerhard Richter, Klaus Richter

“…Here, we evaluate this algorithm according to several criteria and further develop its statistical capabilities. …”
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An improved Multi-Objective Whale Optimization Algorithm for hydrodynamic and acoustic performance optimization of Myring-shaped underwater vehicle by Qigan Wang, Yu Dong, Han Wu, Peizhan Cao, Zhijun Zhang

“…The efficiency of the proposed algorithm was evaluated using DTLZ2 and DTLZ4 benchmark functions, where it outperformed the traditional MOWOA. …”
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Comparative performance of PROMIS Sleep Disturbance computerized adaptive testing algorithms and static short form in postmenopausal women by Andrew Trigg, Claudia Haberland, Huda Shalhoub, Christoph Gerlinger, Christian Seitz

“…A graded response model (GRM) was fitted for the item bank, then simulations evaluated the performance of CAT algorithms and the short form, in terms of root mean square error (RMSE) versus the latent trait estimate derived from the full bank. …”
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Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson’s Disease by Noore Zahra

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The value of machine learning based on spectral CT quantitative parameters in the distinguishing benign from malignant thyroid micro-nodules by Zuhua Song, Qian Liu, Jie Huang, Dan Zhang, Jiayi Yu, Bi Zhou, Jiang Ma, Ya Zou, Yuwei Chen, Zhuoyue Tang

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Advances in application of ultrasound in diagnosis of diabetic nephropathy by GUO Juan, YANG Zhifang, JI Ri

“…Conventional ultrasound techniques, including grayscale and Doppler ultrasound, evaluate renal morphology and hemodynamic changes. …”
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Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation by Hanan Abdullah Mengash, Hany Mahgoub, Asma Alshuhail, Abdulbasit A. Darem, Jihen Majdoubi, Ayman Yafoz, Raed Alsini, Omar Alghushairy

“…The data aggregation process is optimised by applying metaheuristic techniques. A Genetic Algorithm (GA) is a method for modelling evolution that uses mutation, crossover, and natural selection as its building blocks. …”
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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

“…In evaluating the value of gene expression for diagnosis and prognosis, the analyzed datasets allowed for the ranking of biomarkers, resulting in eighteen diagnostic genes and fifteen prognostic genes that were used for further algorithm development. …”
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NIRS and machine learning algorithms as a non-invasive technique to discriminate and classify cooked broiler and duck meat by Kamrunnahar Khan Bristy, Dip Ghosh, Md. Abul Hashem

“…Various machine learning algorithms, including linear discriminant analysis (LDA), support vector machine (SVM), Logistic Regression, Random Forest, Gradient Boosting, K-Nearest Neighbors, Decision Tree, Naive Bayes, Neural Network, and XGB, were evaluated. …”
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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…The effectiveness of segmentation algorithms influences the results, necessitating the selection of algorithms based on specific scenarios. …”
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Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…Radiomic feature selection was performed using the LASSO algorithm, and nine machine learning models were evaluated. …”
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Evaluation of functional disorders in tuberculosis patients with the severe course of the disease by T. V. Pyanzova, I. A. Vasilyeva, Yu. T. Dzhangildin

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Sequence characterization and evolutionary analysis of S-RNase gene among five genera Pomoideae by LIANG Wenjie, XIE Zhiliang, Wuyun Tana

“…The Find Best DNA/Protein Models program of MEGA11 software was used to find out the optimal model suitable for the sequence of 5 genera of Pyridae S-RNase gene, and the corresponding model and algorithm were used to calculate the differentiation between the sequences. …”
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Identifying the best reference gene for RT-qPCR analyses of the three-dimensional osteogenic differentiation of human induced pluripotent stem cells by Masakazu Okamoto, Yusuke Inagaki, Kensuke Okamura, Yoshinobu Uchihara, Kenichiro Saito, Akihito Kawai, Munehiro Ogawa, Akira Kido, Eiichiro Mori, Yasuhito Tanaka

“…Four algorithms—ΔCt, BestKeeper, NormFinder, and geNorm—were used to evaluate the stability of 14 candidate reference genes. …”
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From Halos to Galaxies. VI. Improved Halo Mass Estimation for SDSS Groups and Measurement of the Halo Mass Function by Dingyi Zhao, Yingjie Peng, Yipeng Jing, Xiaohu Yang, Luis C. Ho, Alvio Renzini, Anna R. Gallazzi, Cheqiu Lyu, Roberto Maiolino, Jing Dou, Zeyu Gao, Qiusheng Gu, Filippo Mannucci, Houjun Mo, Bitao Wang, Enci Wang, Kai Wang, Yu-Chen Wang, Bingxiao Xu, Feng Yuan, Xingye Zhu

“…However, the quenching of the central galaxy can decouple the coevolution of its stellar mass and DM halo mass. Different halo assembly histories can also result in significantly different final stellar masses of the central galaxies. …”
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Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System by Ibraheem Shayea, Mahamod Ismail, Rosdiadee Nordin, Hafizal Mohamad

“…MIF-AHODA adaptively makes handover decisions based on different decision algorithms, which are selected based on the handover scenario type and resource availability. …”
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An enhanced protection scheme for power transformers integrating alpha plane analysis by Ahmed S. Sayed, Ehab M. Nabil, Almoataz Y. Abdelaziz, Mohit Bajaj, Ievgen Zaitsev

“…This paper proposes an enhanced transformer protection scheme by integrating the alpha plane (AP) concept, traditionally used in transmission line protection, to improve transformer differential protection. This entails redefining AP restraint and operating zones based on transformer current behavior under various operating and fault conditions, in addition to introducing a novel algorithm utilizing a new mathematical approach to compute the alpha-plane complex ratio. …”
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A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

“…The purpose of this study was to evaluate the performance of meta-heuristic optimization algorithms for feature selection to increase the Salmonella occurrence prediction success of commonly used algorithms in agricultural waters. …”
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