Results 131 to 140 of about 5,764 (241)

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

Proteins: Structure, Function, and Bioinformatics, Volume 94, Issue 8, Page 1458-1484, August 2026.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal, Sara Malvar, Ranveer Chandra, Baraem P. Ismail   +3 more
wiley   +1 more source

Space Vector Modulation of Nine-Phase Voltage Source Inverters Based on Three-Phase Decomposition [PDF]

, 2007
A new space vector modulation (SVM) technique having a full and independent control of the multiple voltage space vectors of a nine-phase voltage source inverter (VSI) is presented in this paper.
SERRA, GIOVANNI, TANI, ANGELO, GRANDI, GABRIELE   +2 more
core  

Automated Mineral Identification and Rock‐Type Classification of Lunar Mare Basalts Using SEM Images

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We present an automated system for identifying minerals and classifying rock types in Apollo lunar mare basalts using scanning electron microscopy (SEM) imagery. Mineral segmentation is based on a U‐Net architecture, supplemented by two scale‐aware models designed to incorporate pixel size information.
Ji‐In Jung, Sonia M. Tikoo, Jaehong Chung, Claire I. O. Nichols   +3 more
wiley   +1 more source

Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance

New Phytologist, Volume 251, Issue 3, Page 975-995, August 2026.
Summarised methodology for metabolite biomarker discovery and genomic targets selection for those metabolites to predict high‐throughput phenotypic and agronomic traits of interest for direct uptake in breeding programmes. Summary Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to ...
Agyeya Pratap, Arash Fazeli, Ali Bandehagh, Nicolas L. Taylor   +3 more
wiley   +1 more source

Five phase space vector modulation voltage source inverter using large vector only / Mohd Syazimie Zulkifli [PDF]

, 2012
AC machine with a phase number higher than three enables utilization in electric drives and considered for several applications today. The multi-phase gives more advantages compared to three-phase counterparts.
Zulkifli, Mohd Syazimie
core  

A Review of Breath Sensing for Disease Monitoring and Diagnosis: Breathomics, Artificial Intelligence, and Nanomaterials for the Future of Medicine

Advanced Sensor Research, Volume 5, Issue 7, July 2026.
Breathomics is established as a non‐invasive diagnostic strategy by combining volatile organic compound biomarkers, nanomaterial‐based sensor arrays, and AI‐driven classification. Key diseases, sensing materials, and analytical challenges are critically compared, revealing how portable, data‐enabled breath platforms are moving toward clinically useful ...
Anesu Nyabadza, Mayur Makhesana, Suman Chatterjee, Dermot Brabazon   +3 more
wiley   +1 more source

Pulse width modulation for current source inverters with arbitrary number of phases

Scientific Reports
Modulation techniques for current source inverters (CSIs) have traditionally been derived from those used for voltage source inverters (VSIs), with space vector modulation (SVM) and pulse width modulation (PWM) being the most popular. Among these, PWM is
Predrag Pejović, Takanobu Ohno, Uroš Borović, Spasoje Mirić   +3 more
doaj   +1 more source

Space Vector Modulation of Six-Phase VSI based on three-phase decomposition [PDF]

, 2008
A new space vector modulation (SVM) technique having a full and independent control of the multiple voltage space vectors of a six-phase voltage source inverter is presented in this paper.
TANI, ANGELO, SERRA, GIOVANNI, GRANDI, GABRIELE   +2 more
core  

Artificial intelligence and oral microbiome: Reshaping the diagnostic and therapeutic paradigm of OSCC

Clinical and Translational Medicine, Volume 16, Issue 7, July 2026.
Schematic overview showing how microbiota‐induced epithelial dysbiosis initiates OSCC pathogenesis; multi‐omics sequencing paired with machine learning modelling constructs predictive biomarkers; the resultant high‐precision prediction tools support early tumour screening, lymph node metastasis risk evaluation and individualised targeted treatment for ...
Rui Shi, Yuan Zhi, Ling Gao, Shao‐Ming Li, Ke‐Qian Zhi, Wen‐Hao Ren   +5 more
wiley   +1 more source

Intelligent Tetracycline Sensing With Carbon Quantum Dots: From Photophysical Engineering to Machine Learning‐Enhanced Detection

Engineering Reports, Volume 8, Issue 7, July 2026.
Carbon quantum dots engineered through heteroatom doping and surface functionalization enable selective tetracycline sensing via fluorescence modulation. Integration of machine learning with portable sensing platforms enhances discrimination accuracy, matrix tolerance, and real‐world applicability for intelligent antibiotic monitoring in food and ...
Mohamed Abu Shuheil, Rasha Eldalawy, Irwanjot Kaur, Ahmed Aldulaimi, Nada Othman Kattab, Kamal Kishore Thakur, Khushnud Azizjanov, Mukhammadali Buriev, Ahmad Amiri   +8 more
wiley   +1 more source