Results 141 to 150 of about 51,876 (192)

Past and Future of Sustainability Indicator Research in Agribusiness: A Bibliometric and Forecasting Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT This study offers a forward‐looking assessment of sustainability indicator research in agribusiness by integrating bibliometric mapping with ARIMA‐based forecasting. Analysing 403 Scopus‐indexed articles, bibliographic‐coupling analysis identifies three contemporary thematic domains: Techno‐Managerial Sustainability, Systemic and ...
Marcelo Kratz Mendes, Olga Cam, Aurora Carneiro Zen, Roger de Bem Jaeger, Daniela Callegaro‐de‐Menezes, Juliana Matos de Meira   +5 more
wiley   +1 more source

UAVRM-A*: A Complex Network and 3D Radio Map-Based Algorithm for Optimizing Cellular-Connected UAV Path Planning. [PDF]

Sensors (Basel)
Chai Y, Wang Y, Yang X, Im SK, He Q.
europepmc   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Visibility graph analysis for educational data: potentials and a case study of predicting at-risk online students. [PDF]

Sci Rep
Azizi H, Amini MS, Sulaimany S, Mafakheri A.   +3 more
europepmc   +1 more source

Application of Ultrasonic Sensors for Determining the Height of Dynamic Two‐Phase Layers in Tray Columns

Chemie Ingenieur Technik, EarlyView.
Ultrasonic sensors are evaluated for their applicability in dynamic gas–liquid systems. By comparing sensor data with two independent optical reference methods, their robustness and reliability are demonstrated under varying flow conditions and tray geometries in column systems.
Niklas Breuer, Marcus Grünewald, Julia Riese   +2 more
wiley   +1 more source

Information-Theoretic Intrinsic Motivation for Reinforcement Learning in Combinatorial Routing. [PDF]

Entropy (Basel)
Xi R, Ni Y, Wu W.
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

Crossover operators for molecular graphs with an application to virtual drug screening. [PDF]

J Cheminform
Domschke N, Schmidt BJ, Gatter T, Golnik R, Eisenhuth P, Liessmann F, Meiler J, Stadler PF.   +7 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source