Results 51 to 60 of about 462,479 (185)

Data-driven adaptive model-based predictive control with application in wastewater systems [PDF]

, 2011
This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based ...
Katebi, M.R., Wahab, N.A., Rahmat, M.F., Balderud, J.   +3 more
core   +3 more sources

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Modulation-mode and power-assignment for SVD-assisted downlink multiuser MIMO systems [PDF]

, 2010
Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference.
Ahrens, Andreas, Benavente Peces, César
core  

Silk Fibroin for Cardiovascular Medical Devices: Review of Material Properties, Applications, and Clinical Potential

Advanced NanoBiomed Research, EarlyView.
Silk fibroin is an attractive natural biomaterial that can be engineered into diverse cardiovascular constructs, including vascular grafts, cardiac patches, heart valves, and stent coatings. Its tunable biological and mechanical properties have driven substantial preclinical progress; however, widespread clinical translation in cardiovascular ...
Mahsa Haghighattalab, Matt Govendir, Kristina Andelovic, Zachary Och, Fatemeh Karimi, Munira Xaymardan, Tomasz Jungst, Jelena Rnjak‐Kovacina, Nona Farbehi   +8 more
wiley   +1 more source

Accelerating Frequency Response Measurements Through Sparse Data‐Driven Reconstruction Using the Loewner Framework

Chemie Ingenieur Technik, EarlyView.
Frequency response analysis is vital for electrochemical diagnostics but inherently time‐consuming. By building state‐space models from sparse frequency samples, the Loewner framework accurately reconstructs transfer functions and distribution of relaxation times (DRT), drastically cutting testing time without sacrificing accuracy.
Bansidhar Patel, Antonio Sorrentino, Ion Victor Gosea, Athanasios C. Antoulas, Tanja Vidaković‐Koch   +4 more
wiley   +1 more source

A multilevel perspective on MSH6‐associated Lynch syndrome: Integrating molecular, biological, and clinical insights

International Journal of Cancer, EarlyView.
Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by a germline pathogenic variant in one of the mismatch repair (MMR) genes. Among these, MSH6‐associated LS represents a distinct subtype with unique molecular and clinical characteristics.
Salwa Ben Yahia, Anne‐Sophie van der Werf‐'t Lam, Madalina Cabuta, Maartje Nielsen, Noah C. Helderman   +4 more
wiley   +1 more source

Performance Evaluation Of RDWT-SVD and DWT-SVD Watermarking Schemes [PDF]

, 2016
Digital image watermarking protects content by embedding a signal (i.e., owner information) into the host image without noticeable degradation in visual quality.
Bee, Ee Khoo, Taha H. Rassem, Nasrin, M. Makbol, Bee Ee Khoo, Nasrin M. Makbol, Rassem, Taha H.   +5 more
core   +1 more source

Through Wall Radar Classification of Human Micro-Doppler Using Singular Value Decomposition Analysis

Sensors, 2016
The ability to detect the presence as well as classify the activities of individuals behind visually obscuring structures is of significant benefit to police, security and emergency services in many situations.
Matthew Ritchie, Matthew Ash, Qingchao Chen, Kevin Chetty   +3 more
doaj   +1 more source

SubDIVIDE: Efficient tensor‐valued diffusion magnetic resonance imaging via joint diffusional variance decomposition modeling and subspace reconstruction

Journal of Intelligent Medicine, EarlyView.
SubDIVIDE integrates a physics‐consistent DIVIDE subspace directly into MRI reconstruction. By embedding a low‐rank basis derived from a large DIVIDE signal dictionary into a joint ADMM optimization—together with composite sensitivity maps that absorb inter‐b‐value phase errors—the framework recovers quantitative microstructural maps from highly ...
Cheng Yang, Jingguo Yan, Zihan Zhou, Zhong Xue, Qiuyun Fan   +4 more
wiley   +1 more source

From structural design to model compression: Research progress on lightweight algorithms for motor imagery brain–computer interfaces

Journal of Intelligent Medicine, EarlyView.
Lightweight Motor Imagery BCI Decoding: From Structural Design to Model Compression. This graphical abstract summarizes the motivation, principal strategies, and deployment benefits of lightweight motor imagery brain–computer interface decoding. Structural‐level lightweight designs, including depthwise separable, multi‐branch, and dilated convolutions,
Yijie Zhou, Zhuoyue Chu, Shengcui Cheng, Mingming Zhang, Long Chen, Zhongpeng Wang   +5 more
wiley   +1 more source