33 results found

BASHIR SHUAIBU AHMAD, Dr. Naveen Kumar Yadav, Dr. Muhyiddeen Yahaya Musa, Dr. Mukeesh Kumar

This paper presents a systematic simulation-based framework for comparing the structural performance and energy efficiency of robotic arm links fabricated from Aluminium 6061-T6 and Carbon Fiber Reinf...

Research Square 2026-04-23 rs-9459718
CFRP Robotic manipulator Energy efficiency Lagrangian dynamics Structural optimization Composite materials MATLAB simulation

Jianbin Li, Yonglu Han

This paper proposes an intelligent control method based on the Camel Marching Optimization Algorithm (CJOA) for the adaptive adjustment of control parameters of grid structured photovoltaic inverters ...

Discover Artificial Intelligence 2026-04-23 rs-9243294
Grid type inverter Adaptive control Camel marching optimization algorithm Convolutional neural network Optical storage system

Antonio A. Chaves, Mauricio G.C. Resende, Carise E. Schmidt, J. Kyle Brubaker, Helmut G. Katzgraber, Martin J.A. Schuetz

Mixed-Integer Programs (MIPs) are NP-hard optimization models that arise in a broad range of decision-making applications, including finance, logistics, energy systems, and network design. Although mo...

Research Square 2026-04-23 rs-9390292
Mixed-Integer Programs Heuristic Random-Key Optimization

Sivasankar K, S. Muthukrishnan

This study investigates electrical energy conservation opportunities at SABIC Research and Technology Centre, Bangalore, aligning with SABIC’s global sustainability goal of a 15% reduction in energy c...

Research Square 2026-04-23 rs-8482838
Energy Audit Electrical Energy Conservation EC Fan Retrofit Monitoring Variable Speed Drive (VSD) Chiller Efficiency Power Factor Correction Transformer Loss Reduction HVAC Optimization Industrial Sustainability

Du Nguyen Duy, Ramin Nikzad-Langerodi, Josef Scharinger, Michael Affenzeller

In modern manufacturing value chains, achieving optimal product quality and sustainability necessitates collaboration across interconnected stakeholders. Conventional Latent Variable Model Inversion (...

Discover Artificial Intelligence 2026-04-23 rs-9243934
Cross-organizational Process Optimization Partial Least Squares Cooperative Coevolution Genetic Algorithm Vertical Federated Learning Latent Variable Model Inversion

Orestis Friderikos, Arturo Mendoza, Emmanuel Baranger, John Mirisidis, Dimitrios Sagris, Constantine David, Zvonimir Tomičevi´c

This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective i...

Engineering with Computers 2026-04-23 rs-7968679

Sivani Pinnaboina, Venkata Sowmya Kambhampati, Kodanda Rama Sastry Jammalamadaka, Sasi Bhanu Jammalamadaka

Brain tumours cause severe morbidity. Needs to be diagnosed in the minimum time and with the Highest accuracy. It takes a long time to learn Deep learning Models that can predict the type and severity...

Scientific Reports 2026-04-23 rs-9365075
Transfer Learning Pre Training ResNet18 Whales optimization Brain Tumors

Junxing Bai, Zhefan Zhang, Cundong Xu, Zhihang Wang, Huimin Hou, Baichang Yang, Haochen Zhang, Yue Lan

To address the reduction in structural strength and the decreased safety of separated-type aqueduct bodies due to erosion damage caused by sediment-laden flow, an erosion damage model for the aqueduct...

Scientific Reports 2026-04-22 rs-9261535
separated-type aqueduct erosion damage water-sediment two-phase flow numerical simulation structural optimization

SAYED ATHAR ALI HASHMI, Pushpendra Tiwari

This study proposes a Machine Learning-Optimized 3D Hybrid Chaotic Map (Logistic–Tent–Hénon–Chebyshev) for secure and energy-efficient encryption of images and multimedia data in resource-constrained ...

Research Square 2026-04-22 rs-9456970
Machine learning optimization Hybrid chaotic map Image encryption Multimedia encryption IoT security Power consumption

Zhuyan Yin, Gaoshun Song, Chengfeng Zhou, Hongjun Zhang

This paper presents DT-AOF, a decision-theoretic adaptive optimization framework designed to address dynamic optimization problems under uncertainty. The proposed method integrates three key component...

Scientific Reports 2026-04-22 rs-9332277
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