Results 31 to 40 of about 58,557 (260)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Optimized Ensemble Support Vector Regression Models for Predicting Stock Prices with Multiple Kernels

Acta Informatica Pragensia
Stock forecasting is a complicated and daily challenge for investors because of the non-linearity of the market and the high volatility of financial assets such as stocks, bonds and other commodities.
Subba Reddy Thumu, Geethanjali Nellore
doaj   +1 more source

برآورد محاسباتی واحدهای رنگی L*a*b* از RGB با کمک پردازش تصاویر دیجیتالی [PDF]

مجله پژوهش‌های علوم و صنایع غذایی ایران, 2017
رنگ اولین ویژگی کیفیت مواد غذایی است که توسط مصرف کنندگان مورد بررسی قرار می گیرد. اندازه گیری رنگ مواد غذایی به‌عنوان یک شاخص غیرمستقیم در اندازه گیری دیگر ویژگی های کیفیتی مانند عطر و طعم و محتویات رنگدانه به دلیل سرعت و سادگی در اندازه گیری، و همچنین ...
سامان آبدانان مهدی زاده, سمیه امرایی   +1 more
doaj   +1 more source

Hydro‐ and Lipophilicity of Molecular‐Size‐Controlled Hydrogel Drug Carriers

Advanced Materials Technologies, EarlyView.
We investigate nano‐sized hydrogel drug carriers with tailored hydro‐ and lipophilicity. We design their encapsulation and structure‐forming capabilities and follow them in real time during fabrication using time‐resolved and in situ grazing incidence x‐ray scattering.
Elisabeth Erbes, Naireeta Biswas, Calvin J. Gavillet, Matthias Schwartzkopf, Krishnayan Basuroy, Qing Chen, Andrei Chumakov, Susann Frenzke, Marc Gensch, Korneliya Gordeyeva, Patrycja Kielb, Sonja Kirchner, Volker Körstgens, Peter Müller‐Buschbaum, Henrike M. Müller‐Werkmeister, Jan Rubeck, Sreevidya Thekku Veedu, Jose de Jesus Velazquez‐Garcia, Vivian Waclawek, Daniel Söderberg, Stephan V. Roth, Simone Techert   +21 more
wiley   +1 more source

Mr BMT Achieves Systemic Macrophage Replacement With Preservation of Tissue Homeostasis

Advanced Science, EarlyView.
Microglia replacement by bone marrow transplantation (Mr BMT) enables systemic replacement of tissue‐resident macrophages. Despite persistent macrophage and tissue remodeling across multiple organs, core biological functions and innate immune responses remain preserved, supporting long‐term maintenance of organismal homeostasis and the therapeutic ...
Yufei Xu, Miaozhan Zou, Yunshang Bai, Yang He, Zhihao Jin, Baozhi Yang, Jinjin Du, Pei Ouyang, Yuanyuan Cai, Yuheng Zhang, Bingying Du, Chengcheng Ge, Jian‐an Gong, Xiaoyu Li, Yuanyi Zheng, Jing Ding, Bo Peng, Yanxia Rao   +17 more
wiley   +1 more source

The effectiveness of assessment instruments in measuring change in persons with an intellectual disability who have sexually offended [PDF]

, 2010
The present research was designed to examine a set of assessment measures for their effectiveness in evaluating risk and treatment needs in a small sample of intellectually disabled sex offenders (IDSOs).
Burrett, Vanessa Mary
core  

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Fixed points and coincidence points for multimaps with not necessarily bounded images

Fixed Point Theory and Applications, 2004
In metric spaces, single-valued self-maps and multimaps with closed images are considered and fixed point and coincidence point theorems for such maps have been obtained without using the (extended) Hausdorff metric, thereby generalizing many results in
Naidu SVR
doaj  

Peramalan Jumlah Penumpang Berangkat Melalui Transportasi Udara di Sulawesi Tengah Menggunakan Support Vector Regression (SVR)

Jambura Journal of Mathematics, 2020
Sulawesi Tengah memiliki tujuh bandara sebagai akses transportasi udara keluar atau masuk. Jumlah penumpang berangkat menggunakan transportasi udara melalui ketujuh bandara tersebut mengalami fluktuasi setiap bulannya.
Drajat Indra Purnama, Oki Prasetia Hendarsin   +1 more
doaj   +1 more source