Results 101 to 110 of about 11,600 (349)
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Designing an Interpretive Structural Model of Effective Factors on Promoting Innovation of Companies Located in Incubator (Case Study: Companies Located in Incubator Affiliated to Yazd Science and Technology Park) [PDF]
بهبود مدیریت, 2014 Today’s world is changing with an unpredictable speed. In this situation, innovation is an important factor in the country developing and progressing and one of the important centers to do innovative actions are companies in incubators of the science and
Seyyed Habibollah Mir Ghofoori +1 more
doaj
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Analisis Penghalang Implementasi Cleaner Production di Kampung Batik Semarang dengan Pendekatan Interpretive Structural Modeling [PDF]
, 2017 Analysis of The Barriers for Implementing Cleaner Production in Kampung Batik of Semarang City Using Interpretive Structural Modeling Approach. Small and Medium Enterprises (SMEs) batik is the most important production activities in several cities in ...
Pujotomo, D. (Darminto) +2 more
core
Advanced Intelligent Discovery, EarlyView.This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
BMC Medical Education, 2020 Background Hidden curriculum (HC) is considered as unintended learning experiences in medical education (ME). This may include values, norms, beliefs, skills, and knowledge which could potentially influence learning outcomes.
Yaser Sarikhani +3 more
doaj +1 more source
Modelling the key enablers of organizational building information modelling (BIM) implementation: An interpretive structural modelling (ISM) approach [PDF]
, 2021 Behzad Abbasnejad +4 more
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
ZOOTEC, 2014 Although the livestock sub-sector contributes significantly to the economic growth of North Sulawesi, but to date not include leading commodity in the agro-industry development. The problems to be studied in livestock development efforts is the absence of the establishment / implementation of appropriate strategies to be able to maximize the potentials
openaire +3 more sources
Journal of Aceh Aquatic Sciences, 2020 Penelitian dilakukan pada September hingga November 2017 tempat pendaratan ikan (PPI) Meulaboh. Tujuan dari penelitian ini adalah untuk menentukan elemen kunci dari pengelolaan PPI yang optimal di Barsela Aceh. Penelitian ini adalah studi kasus. Metode pengumpulan data yang digunakan dalam penelitian ini adalah purposive sampling.
Muhammad Rizal +2 more
openaire +1 more source