Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…The Mayfly Optimization Algorithm (MOA) is then utilized for feature selection, effectively mitigating computational complexity. …”
Get full text

Graph-Based Warm Solutions for Optimal Resilience Enhancement of Water Distribution Networks by Mohsen Hajibabaei, Amin Minaei, Mohsen Shahandashti, Robert Sitzenfrei

Get full text

Talking Resilience: Embedded Natural Language Cyber-Organizations by Design by Andrea Tomassi, Andrea Falegnami, Elpidio Romano

“…By integrating the concepts of simplexity, complixity, and complexity compression, we illustrate how complex cognitive and operational processes can be selectively condensed into efficient outcomes. …”
Get full text

Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things by Chunhui Zhang, Jian Li, Naile Wang, Dejun Zhang

“…With the widespread deployment of Internet of Things (IoT) devices, their complex network environments and open communication modes have made them prime targets for cyberattacks. …”
Get full text

Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks by Mattia Fabiani, Asmaa Abdallah, Abdulkadir Celik, Omer Haliloglu, Ahmed M. Eltawil

“…Furthermore, an LSF-based radio unit (RU) selection algorithm is employed to activate only the contributing RUs, allowing efficient utilization of network resources. …”
Get full text

A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…This approach effectively captures both structured features and non-linear patterns, making it suitable for datasets with complex dependencies. The second model pairs eXtreme Gradient Boosting (XGBoost), a highly efficient boosting algorithm for tabular data, with an Artificial Neural Network (ANN). …”
Get full text

A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…It is challenging to find the best PEMFC parameters because the model is complex and the problem is nonlinear; not all optimization algorithms can solve this problem. …”
Get full text

H2O-balance-regulated cation–anion competitive coordination for selective elements extraction from spent lithium-ion batteries by Mingqiang Cheng, Yixin Hua, Qibo Zhang, Qihao Li, Hongda Li, Ding Wang, Xianshu Wang, Yun Zhao, Juanjian Ru, Baohua Li

Get full text

A Framework for Data‒Driven Fault Diagnosis of Numerical Spacecraft Propulsion Systems by Kazushi Adachi, Samir Khan, Shinichi Nakasuka, Kohji Tominaga, Seiji Tsutsumi, Yu Daimon, Taiichi Nagata

“…The increasing complexity of space exploration missions introduces significant challenges to maintaining spacecraft health, particularly in the propulsion systems, due to the inherent communication delays with Earth. …”
Get full text

Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

“…Abstract Assessing actual evapotranspiration (AET) remains a key challenge in the design of efficient irrigation systems, strategies, and schedules. …”
Get full text

Prioritized aggregation operators for Schweizer-Sklar multi-attribute decision-making for complex spherical fuzzy information in mobile e-tourism applications by Khawlah Alhulwah, Muhammad Azeem, Mehwish Sarfraz, Nasreen Almohanna, Ali Ahmad

“…We looked at a numerical example centered on efficient mobile e-tourism selection to show the effectiveness and viability of the recommended approaches. …”
Get full text

Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB by Seyf Eddine Bechekir, Mokhtaria Jbilou, Mostefa Brahami, Fatima Zohra Boudjella, Imen Souhila Bousmaha, Mimouna Oukli, Said Nemmich

“… Inverters are essential for converting direct current to alternating current in electric vehicles, relying on pulse width modulation (PWM) for efficiency. This study presents a real-time Selective Harmonic Elimination PWM (SHE-PWM) algorithm using artificial neural networks, validated with the OP5600 RT LAB simulator. …”
Get full text

DECISION SUPPORT SYSTEM IN PLANNING INVESTMENT PROJECTS by Viktor Kosenko

“…The following tasks were solved in the article: the model of complex planning was studied and the investment project was implemented, the method of selecting an optimal variant of investment project implementation was developed, the elements of the decision support system to select the investment method were specified. …”
Get full text

HERCULE: High-Efficiency Resource Coordination Using Kubernetes and Machine Learning in Edge Computing for Improved QoS and QoE by Garrik Brel Jagho Mdemaya, Miguel Landry Foko Sindjoung, Milliam Maxime Zekeng Ndadji, Mthulisi Velempini

Get full text

Incentivising cooperation by judging a group’s performance by its weakest member in neuroevolution and reinforcement learning by Jory Schossau, Bamshad Shirmohammadi, Arend Hintze, Arend Hintze

“…Notably, the introduced approach improves overall efficiency, as equitably-minded agents collectively achieve greater stability and higher individual outcomes than agents pursuing purely selfish strategies.DiscussionThis methodology aligns closely with biological mechanisms observed in nature, specifically group-level selection and inclusive fitness theory. …”
Get full text

Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models by Samira Mohammadi, Vahid Rahmanian, Sasan Sattarpanah Karganroudi, Mehdi Adda

“…We focused on metrics such as accuracy, precision, recall, and loss to compare the performance of models VGG19 and DeiT (data-efficient image transformer). RandomSearchCV was used for hyperparameter optimization, and we selectively froze some layers during training to help better tailor the models to our dataset. …”
Get full text

Increasing efficiency and sustainability: A comparative analysis of concrete 3D printing and traditional methods based on case studies by Karamara Merve, Bogdanski Moritz-Ole, Zöller Raphael, Albrecht Sophie Viktoria, Linner Thomas, Bock Thomas, Braml Thomas

“…Concrete 3D printing offers several significant advantages, including the ability to create complex geometries, increased material efficiency, faster build times and cost savings. …”
Get full text

On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

Get full text

Low‐power fast Fourier transform hardware architecture combining a split‐radix butterfly and efficient adder compressors by Guilherme Ferreira, Guilherme Paim, Leandro M. G. Rocha, Gustavo M. Santana, Renato H. Neuenfeld, Eduardo A. C. Costa, Sergio Bampi

“…Results reveal that the proposed FFT hardware architecture using the split‐radix butterfly is 13.28% more power efficient than the radix‐4 one. The results further show that, by combining 5‐2 AC within the split‐radix butterfly, our proposal saves up to 43.1% of the total power dissipation considering the whole FFT hardware architecture, compared with the state‐of‐the‐art radix‐4 butterfly employing the adder automatically selected by the logic synthesis tool.…”
Get full text

An efficient deep learning prognostic model for remaining useful life estimation of high speed CNC milling machine cutters by Hamdy K. Elminir, Mohamed A. El-Brawany, Dina Adel Ibrahim, Hatem M. Elattar, E.A. Ramadan

Get full text