Results 71 to 80 of about 9,789 (258)
This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu +7 more
wiley +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
Meshless Search SR-STAP for Airborne Radar Based on Meta-Heuristic Algorithms. [PDF]
Hou Y, Zhang Y, Gui W, Wang D, Dong W.
europepmc +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
ABSTRACT Research on how to leverage high‐performance work systems (HPWS) and other strategic human resource management (HRM) systems to improve performance outcomes has long been a cornerstone of the HRM discipline. This study offers a comprehensive mapping of the field through bibliometric analysis and a thematic synthesis of 3503 peer‐reviewed ...
Xiaoxuan Zhai +2 more
wiley +1 more source
A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment [PDF]
Network alignment plays a pivotal role in fields such as network science, biology, and social network analysis by identifying common structures and relationships across different networks.
Anagh Awal, Farsuram Pandit
doaj +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Comparative study of meta-heuristic 3D floorplanning algorithms
Constant necessity of improving performance has brought the invention of 3D chips. The improvement is achieved due to the reduction of wire length, which results in decreased nterconnection delay. However, 3D stacks have less heat dissipation due to the inner layers, which leads to increased temperature and the appearance of hot spots. This problem can
Alfredo Cuesta-Infante +7 more
openaire +2 more sources
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. [PDF]
Kaveh M, Mesgari MS.
europepmc +1 more source
Computational Intelligence Accelerates CRISPR‐Cas‐Based Diagnostic Design
Computational intelligence, including pangenome‐guided target mining, machine‐learning‐based guide RNA optimization, and autonomous AI agents, is shifting CRISPR diagnostic design from empirical screening to systematic, data‐driven engineering and accelerating the path from pathogen discovery to deployable diagnostics.
Hengyu Wang +3 more
wiley +1 more source

