Enhancing AES image encryption with a three-dimensional hyperchaotic system for increased security and efficiency. by Mingyi Huo, Yanpei Zheng, Jun Huang

“…In contrast to the traditional fixed S-box, a dynamic S-box generation scheme is employed, while a random operation scheme is proposed as a substitute for fixed sequences in the round key addition and row shifting steps. Experimental results show that the proposed algorithm reduces encryption time to 2.2369 s for a 256[Formula: see text]256 grayscale image, representing an 87.08% improvement over traditional AES (17.3090 s) and a 48.41% improvement over other AES-based chaotic encryption algorithms (4.3360 s). …”
Get full text

A Method for Detecting Tomato Maturity Based on Deep Learning by Song Wang, Jianxia Xiang, Daqing Chen, Cong Zhang

“…The algorithm employs several technical means to improve detection accuracy and efficiency. …”
Get full text

Synergistic Effects of Drivers on Spatiotemporal Changes in Carbon and Water Use Efficiency in Irrigated Cropland Ecosystems by Guangchao Li, Zhaoqin Yi, Tiantian Qian, Yuhan Chang, Hanjing Gao, Fei Yu, Liqin Han, Yayan Lu, Kangjia Zuo

“…Notably, both the leaf area index (LAI) and precipitation exhibited a shift from a positive to negative influence on CUE once their values exceeded optimal thresholds, indicating that resource overabundance can lead to physiological limitations. …”
Get full text

Evaluating the ecological and social targeting of a compensation scheme in Bangladesh. by Annabelle Jade Bladon, Essam Yassin Mohammed, Belayet Hossain, Golam Kibria, Liaquat Ali, E J Milner-Gulland

Get full text

Directed disruption of IL2 aggregation and receptor binding sites produces designer biologics with enhanced specificity and improved production capacity by Amy Dashwood, Ntombizodwa Makuyana, Rob van der Kant, Arman Ghodsinia, Alvaro R. Hernandez, Stephanie Lienart, Oliver Burton, James Dooley, Magda Ali, Lubna Kouser, Francisco Naranjo, Matthew G. Holt, Frederic Rousseau, Joost Schymkowitz, Adrian Liston

“…Here we use SolubiS and dTANGO, computational algorithm-based methods, to predict mutations within the IL2 structure to improve protein production yield in muteins with altered cellular selectivity, to generate combined muteins with elevated therapeutic potential. …”
Get full text

Optogenetic mapping of feeding and self-stimulation within the lateral hypothalamus of the rat. by Kevin R Urstadt, Kent C Berridge

Get full text

Tubular cell loss in early inv/nphp2 mutant kidneys represents a possible homeostatic mechanism in cortical tubular formation. by Masaki Shigeta, Hirotaka Kanazawa, Takahiko Yokoyama

Get full text

Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review by Luong Vuong Nguyen

“…Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. …”
Get full text

Automatic Registration of Remote Sensing High-Resolution Hyperspectral Images Based on Global and Local Features by Xiaorong Zhang, Siyuan Li, Zhongyang Xing, Binliang Hu, Xi Zheng

“…Nowadays, the trend of satellite remote sensing technology is shifting towards high-resolution hyperspectral imaging technology. …”
Get full text

Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

“…Finally, we present an overview of the algorithm's comparative performance under varying conditions and configurations to substantiate its ability to accurately model ANS activity. …”
Get full text

Integrating digital and narrative medicine in modern healthcare: a systematic review by Efthymia Efthymiou

“…The increasing integration of digital technologies in healthcare, such as electronic health records, telemedicine, and diagnostic algorithms, improved efficiency but raised concerns about the depersonalization of care. …”
Get full text

Towards Predicting Basketball Player Positions with Transformative Insights by Angelos Tsiannis, Christodoulos Efstathiades

“…However, results also show that modern players contribute across multiple positions, reflecting a shift toward versatility. Despite this flexibility, players maintain distinct roles and responsibilities. …”
Get full text

Transformer network for time series prediction via wavelet packet decomposition by Zhichao Wu, Aiye Shi, Yan Ping Tao

“…In the real world, non-stationarytime series data with statistical properties shift over time, making predictionmore challenging. …”
Get full text

Neuroeconomics in the Age of AI: how machine learning alters human decision-making at the neural level by Dumitru Alexandru BODISLAV, Raluca Iuliana GEORGESCU

“…The study contributes to the emerging field of neuroeconomic design and suggests a paradigm shift toward human-compatible AI systems.…”
Get full text

Remote Sensing Applications in Ocean Observation (Second Edition) by Chung-Ru Ho

“…Deep learning and the transformer architecture highlight a paradigm shift in remote sensing data analysis. These advanced techniques help extract complex features from high-dimensional datasets and can process large amounts of data quickly and automatically. …”
Get full text

Mapping Data to Concepts: Enhancing Quantum Neural Network Transparency with Concept-Driven Quantum Neural Networks by Jinkai Tian, Wenjing Yang

“…CD-QNN merges the representational capabilities of QNNs with the transparency of self-explanatory models by mapping input data into a human-understandable concept space and making decisions based on these concepts. The algorithmic design of CD-QNN is comprehensively analyzed, detailing the roles of the concept generator, feature extractor, and feature integrator in improving and balancing model expressivity and interpretability. …”
Get full text

Combining Global Features and Local Interoperability Optimization Method for Extracting and Connecting Fine Rivers by Jian Xu, Xianjun Gao, Zaiai Wang, Guozhong Li, Hualong Luan, Xuejun Cheng, Shiming Yao, Lihua Wang, Sunan Shi, Xiao Xiao, Xudong Xie

“…Subsequently, the improved GA-OTSU thresholding algorithm is applied for feature segmentation, yielding the initial results. …”
Get full text

The Opportunities and Challenges in Integrating AI with Quantum Computing by Tomasz Słapczyński, Marlena Stradomska

“…Quantum computing offers the promise to enhance AI by overcoming computational bottlenecks and enabling novel algorithms, particularly within machine learning and optimization. …”
Get full text

Predictive Model to Analyse Real and Synthetic Data for Learners' Performance Prediction Using Regression Techniques by SHABNAM ARA S.J, Tanuja R, Manjula S.H

“…Real-world data availability is often hampered by privacy concerns, prompting a shift towards synthetic data generation. This study presents an empirical comparison of real, synthetic, and mixed (real + synthetic) data sets in forecasting learner performance, deploying an array of regression-based ML algorithms, including Random Forest, Gradient Boosting, XG Boost, K-nearest Neighbor, and Support Vector Regression. …”
Get full text

Incidence and prevalence of ANCA-associated vasculitis in Oslo, Norway, applying different criteria-based case definitions: a population-based cohort study by Øyvind Molberg, Cathrine Brunborg, Ragnar Gunnarsson, Garen Torhild, Karin R Kilian, Sigrun Skaar Holme

“…Across the study period, incidence rates increased numerically, and prevalence peaked at 143.7 AAV cases/million adults in 2016.Conclusion This population-based study adds new evidence that AAV increases in Europe and indicates that using the ACR/EULAR 2022 criteria shifts cases from GPA to MPA relative to the EMA algorithm, affecting epidemiology estimates.…”
Get full text