Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

“…With the continued exponential growth of digital images, concerns about the security and confidentiality of visual data have increased. …”
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Correlated Atomic Dynamics in a CuZrAl Liquid Seen in Real Space and Time Using Time-of-Flight Inelastic Neutron Scattering Studies by Noah Kalicki, Kyle Ruhland, Fangzheng Chen, Dante G. Quirinale, Zengquan Wang, Douglas L. Abernathy, K. F. Kelton, Nicholas A. Mauro

“…The structural organization of metallic liquids affects their thermophysical properties, such as viscosity and density, thus influencing the ability of a metallic liquid to form useful technological phases, such as metallic glasses. …”
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Leveraging Large Language Models for Enhancing Literature-Based Discovery by Ikbal Taleb, Alramzana Nujum Navaz, Mohamed Adel Serhani

“…The exponential growth of biomedical literature necessitates advanced methods for Literature-Based Discovery (LBD) to uncover hidden, meaningful relationships and generate novel hypotheses. …”
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New discrete memristive hyperchaotic map: modeling, dynamic analysis, and application in image encryption by Fei Yu, Yiya Wu, Xuqi Wang, Ting He, ShanKou Zhang, Jie Jin

“…To achieve this, we adopt a research method that involves constructing a new type of discrete memristor hyperchaotic map by coupling an upgraded cosine discrete memristor with the Cubic map, and then conducting in-depth analysis of the system’s dynamic characteristics using phase diagrams, Lyapunov exponential spectra, and bifurcation diagrams to confirm its ability to reach a hyperchaotic state. …”
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Comparing Growth Models Dependent on Irradiation and Nutrient Consumption on Closed Outdoor Cultivations of <i>Nannochloropsis</i> sp. by Tiago Taborda, José C. M. Pires, Sara M. Badenes, Francisco Lemos

“…Microalgae offer tremendous industrial possibilities for their ability to grow rapidly and capture CO₂ from the atmosphere. …”
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ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

“…These matrices reflected their ability to efficiently classify the five different classes. …”
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Accuracy of GNSS-Derived Acceleration Data for Dynamic Team Sport Movements: A Comparative Study of Smoothing Techniques by Susanne Ellens, David L. Carey, Paul B. Gastin, Matthew C. Varley

“…To determine the ability of a GNSS to quantify acceleration, a variety of measurement indices of validity were obtained for each movement and each smoothing technique. …”
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ANALYSIS OF THE RESULTS OF SIMULATIVE MODELLING OF THE INFORMATION SECURITY SYSTEM IN THE CORPORATE NETWORKS OF HIGHER EDUCATION INSTITUTIONS by Vagif Gasimov, Balami Ismailov

“…At the same time, UA requests were the simplest flows, and the service time was subject to exponential, constant and Erlang distribution laws. …”
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Effect of Aqueous Leaves Extract of Balanite Aegyptiaca on Some Biochemical and Haematological Parameters in Wistar Rats by Isah, S.Y. *, Ahmad, I. M., Hamid, K. M., Abdulhadi, A.U., Abdullahi, H.L, Danladi, S.B., Ahmad, M. B., Rogo, L.D.

“…There is exponential interest in phytotherapy and the demands for information on the effect and implications of the various plant material used in the management of diseases because it is scanty particularly in most developing countries. …”
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ConciliaMed: an interactive mobile and web tool to reconcile chronic medications of patients undergoing elective surgery by Bernardo Santos-Ramos, Eva Rocío Alfaro-Lara, María Dolores Santos-Rubio, Pablo Ciudad-Gutiérrez, Paloma Suárez-Casillas, Ana Belén Guisado-Gil

“…Objective The last decade has seen exponential growth in electronic health tools. However, only a limited number of electronic medication reconciliation tools have been developed and implemented in healthcare settings. …”
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Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

“…The exponential increase in textual data generated across sectors such as healthcare, finance, and smart manufacturing has intensified the need for effective Big Data analytics. …”
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The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats by William Brach, Kristian Kostal, Michal Ries

“…The exponential growth of unstructured text data presents a fundamental challenge in modern data management and information retrieval. …”
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THE INFLUENCE OF SOIL DENSITY AND THE CHARACTER OF RADIOACTIVE 134Cs And 137Cs POLLUTION’S DISTRIBUTION ON in situ MEASUREMENTS by A. I. Zhukouski, O. M. Anshakou, A. O. Nichyparchuk, P. M. Marozik, S. A. Kuten

“…Use of portable and light spectrometers with ability to perform in situ measurements makes it possible to quickly estimate specific activity of measured radionuclides with required accuracy in particular soil site. …”
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Sliding Mode Thrust Control Strategy for Electromagnetic Energy-Feeding Shock Absorbers Based on an Improved Gray Wolf Optimizer by Wenqiang Zhang, Jiayu Lu, Wenqing Ge, Xiaoxuan Xie, Cao Tan, Huichao Zhang

“…Firstly, an improved exponential reaching law is adopted, where a saturation function replaces the traditional sign function to enhance system tracking accuracy and stability. …”
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From data extraction to analysis: a comparative study of ELISE capabilities in scientific literature by Maxime Gobin, Muriel Gosnat, Seindé Toure, Lina Faik, Joel Belafa, Antoine Villedieu de Torcy, Florence Armstrong

“…The exponential growth of scientific literature presents challenges for pharmaceutical, biotechnological, and Medtech industries, particularly in regulatory documentation, clinical research, and systematic reviews. …”
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Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies by Bishwajit Dey, Gulshan Sharma, P.N. Bokoro

“…Four load models, including exponential, hyperbolic, linear, and logarithmic, were constructed for each demand response programme. …”
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Generalized Predictive Control for a Single-Phase, Three-Level Voltage Source Inverter by Diego Naunay, Paul Ayala, Josue Andino, Wilmar Martinez, Diego Arcos-Aviles

“…In recent years, the study of model predictive control (MPC) in power electronics has gained significant attention due to its ability to optimize system performance and improve the dynamic control of complex power converters. …”
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Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest by Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…As a result, TS will help RF automatically search optimal hyperparameters and improve the generalization ability. This work integrates the pros of TS with RF. …”
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Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…By reasonably designing the state, action and reward functions and determining the optimal values of several key parameters in the federated collaboration mechanism, the RL model could ensure high learning efficiency and fast convergence in the face of the gradual increase of road network size and the exponential increase of state and action space with the number of intersections. …”
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Short-term vital parameter forecasting in the intensive care unit: A benchmark study leveraging data from patients after cardiothoracic surgery. by Nils Hinrichs, Tobias Roeschl, Pia Lanmueller, Felix Balzer, Carsten Eickhoff, Benjamin O'Brien, Volkmar Falk, Alexander Meyer

“…Our findings suggest that supplying physicians with short-term forecasts of vital parameters in the ICU is feasible, and that multivariate neural networks are most suited for the task due to their ability to learn patterns across thousands of patients.…”
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