Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

“…Finally, an adaptive ternary optimization mechanism is introduced in the exploration phase: a curve growth acceleration factor is used to collaboratively guide global and individual optimal information, while a hybrid adaptive cosine exponential weigh dynamically adjusts the search intensity. …”
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Modulation instability, and dynamical behavior of solitary wave solution of time M- fractional clannish random Walker's Parabolic equation via two analytic techniques by Mohammed Kbiri Alaoui, Mahtab Uddin, Md. Mamunur Roshid, Harun Or Roshid, M.S. Osman

“…The theory of solitary waves or solitons is crucial in nonlinear models due to their ability to propagate without distortion, making them essential in fields like physics, biology, engineering, and mathematics. …”
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Toward Salient Key Phrase for Candidate Topic Detection by Yasser S. Jude, Wafaa Al-Hameed

“…With exponential growth of digital information, the need for efficient methods for automatic keyphrase extraction has become increasingly important. …”
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Real-time Detection of Imperfect Wheat Grains on Wheat Pile Surface Based on IDS-YOLO by FAN Jiawei, WU Lan, YAN Jingjing

“…Then, the SENet attention mechanism optimized with exponential thinking was embedded to facilitated the design of an Enhanced Feature Extraction Network (Increase-FPN) in order to enhance the model’s ability to extract features of imperfect grains amidst complex backgrounds so that the detection accuracy could be improved and false negative rates reduced. …”
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A versatile family of distributions: Log-linear regression model and applications to real data

“…A special member called exponent generalized exponential-exponential distribution (ExpGE-E) is discussed; a related log-regression model based on ExpGE-E is introduced. …”
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Effect of time-varying delays' dynamic characteristics on the stability of Hopfield neural networks by Xudong Hai, Chengxu Chen, Qingyun Wang, Xiaowei Ding, Zhaoying Ye, Yongguang Yu

“…Additionally, the relationship between the leakage delays and the stabilization ability of the negative feedback terms was explored. …”
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A demand-centered scheduling framework for shared supercomputing resources: modeling, metrics, and case insights by Hyungwook Shim

“…Abstract The exponential growth of artificial intelligence and data-intensive applications has led to a significant surge in demand for supercomputing resources. …”
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Vibration Analysis and Optimal Control of Hydraulic Turbine Based on Sliding Mode Control Strategy by Xiaoping Huang, Yaqiong Zhang, Wenzhe Huang

“…In this paper, a speed change method based on exponential rules is proposed on the basis of the traditional axial flow turbine model, and a coupling model of fuzzy sliding mode control of the turbine is constructed. …”
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From the environment to the host: re-wiring of the transcriptome of Pseudomonas aeruginosa from 22°C to 37°C. by Mariette Barbier, F Heath Damron, Piotr Bielecki, María Suárez-Diez, Jacek Puchałka, Sebastian Albertí, Vitor Martins Dos Santos, Joanna B Goldberg

“…The success of this microorganism relies on its ability to adapt to environmental changes and re-program its regulatory and metabolic networks. …”
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Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization by Raman Dugyala, Premkumar Chithaluru, M. Ramchander, Sunil Kumar, Arvind Yadav, N. Sudhakar Yadav, Diaa Salama Abd Elminaam, Deema Mohammed Alsekait

“…Abstract Over the past two decades, cloud computing has experienced exponential growth, becoming a critical resource for organizations and individuals alike. …”
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An Efficient Dynamic Engineering Implementation Architecture for MIMO Radar System by Ruyue Wen, Hua Zhang, Luping Xu

“…Multiple-input multiple-output (MIMO) technology can significantly improve radar system resolution and target detection ability and become the core technology in millimeter-wave radar systems. …”
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Artificial intelligence-powered dentistry: Probing the potential, challenges, and ethicality of artificial intelligence in dentistry by Abid Rahim, Rabia Khatoon, Tahir Ali Khan, Kawish Syed, Ibrahim Khan, Tamsal Khalid, Balaj Khalid

“…Introduction Healthcare amelioration is exponential to technological advancement. In the recent era of automation, the consolidation of artificial intelligence (AI) in dentistry has rendered transformation in oral healthcare from a hardware-centric approach to a software-centric approach, leading to enhanced efficiency and improved educational and clinical outcomes. …”
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High-Performance Speed Control of PMSM Using Fuzzy Sliding Mode with Load Torque Observer by Ping Xin, Peilin Liu, Pingping Qu

“…A load torque observer is designed to enhance the system’s anti-interference ability by compensating the observed load torque to the current loop input. …”
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Will Artificial Intelligence (AI) Make the School Principal Redundant? A Preliminary Discussion and Future Prospects by Turgut Karakose

“…One of the hot discussions over the exponential advancement of AI has been whether this ability of machines to accomplish tasks that require human intelligence could take over the roles of humans in the workplace and make the human workforce redundant. …”
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Hybrid CNN-LSTM With Attention Mechanism for Robust Credit Card Fraud Detection by Iman Akour, Nour Mohamed, Said Salloum

“…These results highlight the model’s ability to detect fraudulent activities with high precision and reliability. …”
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Destructive Creation of New Invasive Technologies: Generative Artificial Intelligence Behaviour by Mario Coccia

“…Statistical evidence here, based on patent analyses, reveals that the exponential growth rate of transformer technology over a period of five years (2020–2024) is 45.91% more than double compared to the alternative technologies of LSTM (21.17%) and RNN (18.15%). …”
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Comparison of Nonlinear Models for Describing the Growth Curve of Pekin Ducks by Navid Ghavi Hossein‐Zadeh

“…Methods A total of 10 nonlinear mathematical functions (Brody, negative exponential, logistic, Gompertz, Von Bertalanffy, Richards, Schumacher, Morgan, Lomolino and Weibull) were employed in this study. …”
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Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

“…Machine learning is the subfield of artificial intelligence in which computers have the ability to learn and iteratively improve their performance without being explicitly programmed. …”
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Modeling Information Diffusion on Social Media: The Role of the Saturation Effect by Julia Atienza-Barthelemy, Juan C. Losada, Rosa M. Benito

“…We validate our model through simulations, demonstrating its ability to replicate real-world retweet network characteristics, including diffusion size and structural properties. …”
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Litter Decomposition of Indigenous Agroforestry Tree Species, Jimma Zone, Southwest Ethiopia by Kasu Hailu Biru, Solomon Estifanos, Dargo Kebede

“…C. macrostachus decomposes quickly, which may limit its ability to improve soil fertility over an extended period of time. …”
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