Results 71 to 80 of about 82,248 (229)

Studies on Tribological and Mechanical Behavior of AlSi10Mg Processed by Selective Laser Melting

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
To advance the industrial use of additive manufactured (AM) components, evaluating wear behavior is essential for reliability, safety, and innovative design. This study investigates AlSi 10 Mg alloy produced via Selective Laser Melting (SLM) in as‐built, T6, and stress‐relief (SR) conditions.
Reema Sultana   +7 more
wiley   +1 more source

NOVEL MICROWAVE SENSOR FOR ENHANCED BIOCHEMICAL DETECTION AND PREDICTION THROUGH MACHINE LEARNING FOR INDUSTRIAL APPLICATIONS [PDF]

open access: yesProceedings on Engineering Sciences
This paper presents a novel sensor design that incorporates a microstrip patch antenna accompanied by a ground plane integrating a complementary split-ring resonator (CSRR).
G. Challa Ram   +5 more
doaj   +1 more source

Die Theologie Vishnus auf der Grundlage religiöser Erfahrungen der Hindus [PDF]

open access: yes, 2001
Im Rigveda, der altindischen Sammlung von Gesängen des Heiligen, heißt es über Vishnu: "Mögen die Götter uns vor dem Ort, von dem aus Vishnu über die sieben Bereiche der Erde schritt, bewahren.
Weber, Edmund
core  

The Role of Digital Twin Technology in Enhancing Energy Efficiency in Buildings: A Systematic Literature Review

open access: yesEnergy Science &Engineering, Volume 14, Issue 2, Page 1036-1066, February 2026.
Digital Twin (DT) technology enhances building energy efficiency by enabling continuous monitoring, predictive maintenance, and operational optimization within Building Energy Management Systems. Through real‐time data integration and simulation, DTs provide dynamic feedback loops that optimize performance, reduce operational costs, and improve ...
Suqi Wang   +6 more
wiley   +1 more source

Hydrogel Microdroplet Based Glioblastoma Drug Screening Platform

open access: yesJournal of Biomedical Materials Research Part A, Volume 114, Issue 2, February 2026.
ABSTRACT Glioblastoma is the most common primary malignant brain tumor with a 5‐year survival rate < 5%. The standard of care involves surgical resection followed by treatment with the alkylating agent temozolomide (TMZ). GBM cells that evade surgery eventually become resistant to TMZ and lead to recurrence of tumors in patients.
Brittany A. Payan   +7 more
wiley   +1 more source

MOLECULAR DOCKING SIMULATIONS ON EPIDERMAL GROWTH FACTOR RECEPTOR (EGFR) WITH POTENTIAL LEAD MOLECULES [PDF]

open access: yesProceedings on Engineering Sciences
The Epidermal Growth Factor Receptor (EGFR) has received significant interest in the field of lung cancer due to its pivotal involvement in the development and progression of certain types of the illness, particularly non-small cell lung cancer (NSCLC ...
K Ganesh Kadiyala   +7 more
doaj   +1 more source

Sustainable Water Systems in Space: A Review of Current Technologies and Future Prospects

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Sustainable water management is a critical challenge in space exploration, where the limited availability of resources requires innovative approaches to ensure astronauts' survival on long‐duration missions. This narrative review explores the key technologies and methods involved in water recycling, in situ resource utilization (ISRU), and ...
David Bamidele Olawade   +2 more
wiley   +1 more source

HIGH ACCURACY CLASSIFICATION OF PARKINSON'S DISEASE DETECTION USING RNN-GRAPH-LSTM [PDF]

open access: yesProceedings on Engineering Sciences
Parkinson's disease is a progressive disorder that affects the nervous system and the parts of the body controlled by the nerves. In order to begin neuro protective treatments and effectively manage Parkinson's disease (PD), early detection is essential.
Phaneendra Varma Chintalapati   +5 more
doaj   +1 more source

What does fault tolerant Deep Learning need from MPI?

open access: yes, 2017
Deep Learning (DL) algorithms have become the de facto Machine Learning (ML) algorithm for large scale data analysis. DL algorithms are computationally expensive - even distributed DL implementations which use MPI require days of training (model learning)
Amatya, Vinay   +3 more
core   +1 more source

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