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Joint entity and relation extraction with set prediction networks
Joint entity and relation extraction is an important task in natural language processing, which
aims to extract all relational triples mentioned in a given sentence. In essence, the relational …
aims to extract all relational triples mentioned in a given sentence. In essence, the relational …
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems
The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …
has received much attention in various optimization fields due to its simple structure and …
Enhanced moth-flame optimizer with quasi-reflection and refraction learning with application to image segmentation and medical diagnosis
J **a, Z Cai, AA Heidari, Y Ye, H Chen… - Current …, 2023 - benthamdirect.com
Background: Moth-flame optimization will meet the premature and stagnation phenomenon
when encountering difficult optimization tasks. Objective: This paper presented a quasi …
when encountering difficult optimization tasks. Objective: This paper presented a quasi …
Parameter estimation of static solar photovoltaic models using Laplacian Nelder-Mead hunger games search
S Yu, AA Heidari, C He, Z Cai, MM Althobaiti… - Solar Energy, 2022 - Elsevier
Photovoltaic (PV) technology can convert solar energy to electric power, which is an
essential tool for future years. Subsequently, several static solar PV models have been …
essential tool for future years. Subsequently, several static solar PV models have been …
A horizontal and vertical crossover cuckoo search: Optimizing performance for the engineering problems
H Su, D Zhao, F Yu, AA Heidari, Z Xu… - Journal of …, 2023 - academic.oup.com
As science and technology advance, more engineering-type problems emerge. Technology
development has likewise led to an increase in the complexity of optimization problems, and …
development has likewise led to an increase in the complexity of optimization problems, and …
Editing language model-based knowledge graph embeddings
Recently decades have witnessed the empirical success of framing Knowledge Graph (KG)
embeddings via language models. However, language model-based KG embeddings are …
embeddings via language models. However, language model-based KG embeddings are …
Advanced orthogonal learning and Gaussian barebone hunger games for engineering design
X Zhou, W Gui, AA Heidari, Z Cai… - Journal of …, 2022 - academic.oup.com
The hunger games search (HGS) algorithm is a recently proposed population-based
optimization algorithm that mimics a common phenomenon of animals searching for food …
optimization algorithm that mimics a common phenomenon of animals searching for food …
Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma
D Zhao, A Qi, F Yu, AA Heidari, H Chen, Y Li - … Signal Processing and …, 2023 - Elsevier
Melanoma, which results from the cancerous transformation of melanocytes, is the most
dangerous skin cancer in the medical field. Today, image processing technology has been …
dangerous skin cancer in the medical field. Today, image processing technology has been …
Individual disturbance and neighborhood mutation search enhanced whale optimization: Performance design for engineering problems
S Qiao, H Yu, AA Heidari, AA El-Saleh… - Journal of …, 2022 - academic.oup.com
The whale optimizer is a popular metaheuristic algorithm, which has the problems of weak
global exploration, easy falling into local optimum, and low optimization accuracy when …
global exploration, easy falling into local optimum, and low optimization accuracy when …
Horizontal and vertical crossover of sine cosine algorithm with quick moves for optimization and feature selection
The sine cosine algorithm (SCA) is a metaheuristic algorithm proposed in recent years that
does not resort to nature-related metaphors but explores and exploits the search space with …
does not resort to nature-related metaphors but explores and exploits the search space with …