Low Power Processor Architectures and Contemporary Techniques for Power Optimization – A Review [PDF]
The technological evolution has increased the number of transistors for a given die area significantly and increased the switching speed from few MHz to GHz range.
Gujarathi, Hemal S +2 more
core +2 more sources
Metaheuristic optimization algorithms play a crucial role in optimization problems. However, the traditional identification methods have the following problems: (1) difficulties in nonlinear data processing; (2) high error rates caused by local ...
Chunguang Bi +6 more
doaj +1 more source
W(h)ither Fossils? Studying Morphological Character Evolution in the Age of Molecular Sequences [PDF]
A major challenge in the post-genomics era will be to integrate molecular sequence data from extant organisms with morphological data from fossil and extant taxa into a single, coherent picture of phylogenetic relationships; only then will these ...
Bull J. J. +21 more
core +2 more sources
Persian Named Entity Recognition by Gray Wolf Optimization Algorithm
Named entity recognition (NER) is a subfield of natural language processing (NLP). It is able to identify proper nouns, such as person names, locations, and organizations, and has been widely used in various tasks. NER can be practical in extracting information from social media data.
Aynaz Forouzandeh +2 more
openaire +1 more source
Coverage Optimization Technology of Power Pipe Gallery Based on Improved Gray Wolf Algorithm
To address the problem of reduced communication quality in narrow underground power pipe gallery, where wireless sensor network coverage is affected by irregular shapes, obstacles, and electromagnetic interference, a power monitoring coverage sensing ...
Cheng ZHONG +5 more
doaj +1 more source
A measure of the non-Gaussian character of a quantum state [PDF]
We address the issue of quantifying the non-Gaussian character of a bosonic quantum state and introduce a non-Gaussianity measure based on the Hilbert-Schmidt distance between the state under examination and a reference Gaussian state.
Banaszek, Konrad +2 more
core +3 more sources
Monitoring Model of Concrete Dam Deformation Based on Gray Wolf Optimization Algorithm
Dam deformation is one of the most reliable indicators that can reflect the actual condition of concrete dam.Modeling and analysis of dam deformation monitoring data is an effective way to reflect the operation behavior of concrete dam and seek for the ...
CHEN Shuyun +3 more
doaj
A comparison of modern metaheuristic algorithms in the operation of multi-purpose dams [PDF]
The optimal operation of a multi-purpose reservoir is one of the complex and non-linear problems in multi-objective optimization. The limit of water resources and its non-uniform distribution have made the optimal management and utilization of water ...
Hossain Azargoon +2 more
doaj +1 more source
Research on Improving Gray Wolf Algorithm Based on Multi-Strategy Fusion
To address the shortcomings of the basic Gray Wolf Optimization (GWO) algorithm in solving complex problems, such as relying on the initial population, converging too early, and easily falling into local optimality, a chaotic reverse learning ...
Xiaoxiao Yang, Yihui Qiu
doaj +1 more source
Optimal distributed decision in wireless sensor network using gray wolf optimization
<p class="Default">The distributed object decision (DOD) was applied to choose a single solution for problem among many complexes solutions. Most of DOD systems depend on traditional technique like small form factor optical (SFFO) method and scalable and oriented fast-based local features (SOFF) method.
Ibrahim Ahmed Saleh +2 more
openaire +1 more source

