Results 111 to 120 of about 285,439 (304)

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

Advanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel, Bastian Jülich, Anna Rosa Ziefuss, Florian Eibl, Stephan Barcikowski   +4 more
wiley   +1 more source

A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing

Tikrit Journal of Pure Science
The employ of Internet of Things has become an integral part of our daily life, especially in developed countries and societies, which in turn are considered to be one of the basic areas on which the mechanisms of their work depend to a large extent the
Hardi Sabah Talabani, Ihsan Hamza Jumaa
doaj   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Glacial troughs as centres of organic carbon accumulation on the Norwegian continental margin

Communications Earth & Environment
The role of continental margin sediments in the carbon cycle and the associated management potential for climate mitigation are currently poorly understood.
Markus Diesing, Sarah Paradis, Henning Jensen, Terje Thorsnes, Lilja Rún Bjarnadóttir, Jochen Knies   +5 more
doaj   +1 more source

Incorporating Machine Learning Techniques to Enhance Rodent Surveillance in Marginalized Urban Communities

Ecology and Evolution
ABSTRACT Effective management of rodent pests necessitates efficient population surveillance. Many of the available methods currently used for estimating rodent populations are either costly or time‐intensive.
Fabio Neves Souza, Adedayo Michael Awoniyi, Rodrigo Dalvit Carvalho da Silva, Nivison Nery, Maria Victoria Moraes Oliveira, Caio Graco Zeppelini, George Andre Pereira Thé, Kathryn Hacker, Max T. Eyre, Hernan Dario Argibay, Albert Ko, Federico Costa, Hussein Khalil   +12 more
openaire   +2 more sources

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Machine learning evaluation of immune infiltrate through digital tumour score allows prediction of survival outcome in a pooled analysis of three international stage III colon cancer cohortsResearch in context

EBioMedicine
Summary: Background: T-cell immune infiltrates are robust prognostic variables in localised colon cancer. Evaluation of prognosis using artificial intelligence is an emerging field.
Julie Lecuelle, Caroline Truntzer, Debora Basile, Luigi Laghi, Luana Greco, Alis Ilie, David Rageot, Jean-François Emile, Fréderic Bibeau, Julien Taïeb, Valentin Derangere, Come Lepage, François Ghiringhelli   +12 more
doaj   +1 more source

Optimization of Marginal Price Forecasting in Mexico through applying Machine Learning Models

International Journal of Combinatorial Optimization Problems and Informatics
The Local Marginal Price (LMP) represents the value of energy at a specific moment and location, and its proper management is crucial for the development of the country's strategic sectors. This study compares the ADR, RPSG, SARIMA, and LSTM-H models for predicting the LMP, achieving an approximate effectiveness of 88%.
Marcos Fidel Guzmán Escobar, Alberto Alfonso Aguilar-Lasserre, Marco Julio Del Moral-Argumedo, Nicasio Hernández Flores, Gustavo Arroyo-Figueroa   +4 more
openaire   +1 more source

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

Advanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang, Zonghao Zuo, Haoxuan Wang, Bin Liu, Yilidusi Yilihamu, Li Wen   +5 more
wiley   +1 more source