Article
Engineering, Multidisciplinary
Weiguo Zhao, Liying Wang, Seyedali Mirjalili
Summary: The artificial hummingbird algorithm (AHA) proposed in this work mimics the flight skills and foraging strategies of hummingbirds in nature, demonstrating superior competitiveness and effectiveness compared to other meta-heuristic algorithms.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Hoda Zamani, Mohammad H. Nadimi-Shahraki, Amir H. Gandomi
Summary: This paper presents a novel bio-inspired algorithm called SMO, which mimics the behaviors of starlings during their stunning murmuration, to solve complex engineering optimization problems. The SMO introduces dynamic multi-flock construction and three new search strategies, achieving competitive results in solution quality and convergence rate compared to other state-of-the-art algorithms.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Automation & Control Systems
Tong Wang, Xiao-Xue Wang, Juan Wen, Zhe-Yuan Shao, He-Ming Huang, Xin Guo
Summary: This study demonstrates a neuromorphic sensory system with integrated capabilities of gas sensing, data storage, and processing. Using leaky integrate-and-fire neurons, sensory neurons, and synapses, the system is able to detect and classify gases, and can be applied to emulate other biological perceptions.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Neurosciences
Petrut A. Bogdan, Beatrice Marcinno, Claudia Casellato, Stefano Casali, Andrew G. D. Rowley, Michael Hopkins, Francesco Leporati, Egidio D'Angelo, Oliver Rhodes
Summary: This work presents the first simulation of a large-scale, bio-physically constrained cerebellum model performed on neuromorphic hardware, validating the results on SpiNNaker against a baseline simulation with NEST. The study investigates acceleration strategies for real-time simulation on SpiNNaker, aiming to pave the way for exploration of cerebellum-inspired controllers and extended duration simulations on neuro-robotic applications.
FRONTIERS IN CELLULAR NEUROSCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Xufeng Niu, Wenping Ma
Summary: This paper proposes a new selective quantum ensemble learning model (SELA) based on improved AdaBoost and local sample information. SELA combines information entropy and random subspace to preserve important features of the classification task. It selects a base classifier that balances accuracy and diversity among a group of base classifiers generated based on local AdaBoost. The quantum genetic algorithm is used to search optimal weights for base learners in the label prediction process.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Review
Computer Science, Interdisciplinary Applications
Chrysanthos Maraveas, Panagiotis G. Asteris, Konstantinos G. Arvanitis, Thomas Bartzanas, Dimitrios Loukatos
Summary: The article provides an overview of four major bioinspired intelligent algorithms used in agriculture, including ecological algorithms, swarm-intelligence-based algorithms, ecology-based algorithms, and multi-objective algorithms. The focus is on the variants of swarm intelligence algorithms, such as artificial bee colony, genetic algorithm, flower pollination algorithm, particle swarm, ant colony, firefly algorithm, artificial fish swarm, and Krill herd algorithm, as they are widely used in the agricultural sector. Scholars generally agree that certain variants of these bioinspired algorithms are more effective than others in specific applications, such as farm machinery path optimization and pest detection. While the adoption of hyper-heuristic algorithms in agriculture remains low, the benefits associated with these algorithms, such as fuel and cost savings, improved accuracy in agricultural processes, outweigh the risks.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Kottakkaran Sooppy Nisar, Rafia Tabassum, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Summary: Smoking is a leading global factor that causes health issues by damaging various organs and causing diseases. This study used a feed forward neural network and genetic algorithm to solve a mathematical model of smoking, categorizing smokers into five classes and minimizing mean square error as the objective function. A comparative evaluation of hybrid genetic algorithm and Adam numerical scheme was conducted to authenticate the precision and correctness of the solution.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Wenyu Yu, Hui Kang, Geng Sun, Shuang Liang, Jiahui Li
Summary: This article presents a brain disease classification approach based on an improved sparrow search algorithm (ISSA). The method utilizes image features to identify brain hemorrhage and tumor, and improves classification accuracy through optimization algorithm. Experimental results demonstrate that the proposed method effectively reduces feature quantity and achieves high accuracy, making it suitable for brain disease analysis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Nanoscience & Nanotechnology
Ze Wang, Hanliang Ding, Delei Liu, Conghao Xu, Bo Li, Shichao Niu, Jian Li, Linpeng Liu, Jie Zhao, Junqiu Zhang, Zhengzhi Mu, Zhiwu Han, Luquan Ren
Summary: This work presents a novel large-scale flexible antireflection film inspired by cicada wings, which successfully addresses the challenge of consistency between artificial and biological structures, demonstrating excellent antireflection performance. The technology holds great promise for applications in the photovoltaic industry, optical devices, and flexible displays.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Engineering, Manufacturing
Qingsong He, Hui Pan, Zefang Zhao, Hao Zhang, Guoxiao Yin, Yuwei Wu, Lei Cai, Min Yu, Jinjun Duan, Qi Shen, Kai Deng, Zhendong Dai
Summary: In this study, a switchable electro-active adhesive based on PVC gel was successfully prepared, inspired by the active muscular locomotion of gecko toes. It exhibited stable performance, greater adhesion force, and faster response speed compared to reported reversible adhesives. This work has important implications for micro/nano manipulation, transfer printing, and climbing robot applications.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2022)
Article
Computer Science, Artificial Intelligence
Hengde Zhu, Wei Wang, Irek Ulidowski, Qinghua Zhou, Shuihua Wang, Huafeng Chen, Yudong Zhang
Summary: This paper proposes an evolutionary synthesis mechanism to automatically evolve DenseNet for medical image classification, inspired by biological evolution. The mechanism generates sparser offspring in each generation and addresses the limitation of ensemble learning. The proposed model outperforms state-of-the-art methods on medical image datasets.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yeou-Ren Shiue, Gui-Rong You, Chao-Ton Su, Hua Chen
Summary: A new ensemble learning approach, ELBAD, based on balanced accuracy and diversity using a two-phase artificial bee colony (ABC) algorithm, is proposed to balance the accuracy and diversity of ensemble learners. Experimental results show that ELBAD significantly outperforms other popular ensemble learning algorithms on multiple datasets.
APPLIED SOFT COMPUTING
(2021)
Review
Chemistry, Multidisciplinary
Liang Zhou, Lili Ren, You Chen, Shichao Niu, Zhiwu Han, Luquan Ren
Summary: This article discusses the importance of grasping and manipulation in the biological world, as well as the evolution of different morphologies and grasping methods in adapting to harsh environments. Inspired by flexible grasping methods in nature, bio-inspired soft grippers based on impactive gripping are introduced with classification and analysis based on movement types and a model inspired by biological grippers.
Article
Mathematics
Hernan Peraza-Vazquez, Adrian Pena-Delgado, Prakash Ranjan, Chetan Barde, Arvind Choubey, Ana Beatriz Morales-Cepeda
Summary: This paper proposes a new meta-heuristic algorithm called JSOA, which mimics the hunting behavior of jumping spiders and solves global optimization problems with a fine balance between exploitation and exploration.
Article
Chemistry, Multidisciplinary
Rui Wang, Saisai Wang, Kun Liang, Yuhan Xin, Fanfan Li, Yaxiong Cao, Jiaxin Lv, Qi Liang, Yaqian Peng, Bowen Zhu, Xiaohua Ma, Hong Wang, Yue Hao
Summary: A study reports on the use of indium-galim-zinc-oxide thin film phototransistors for in-sensor compression and computing. The results show that the system achieves efficient data processing while maintaining high recognition accuracy.
Article
Engineering, Mechanical
Mohammadreza Azimi, Rouzbeh Riazi
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2016)
Article
Thermodynamics
Mohammadreza Azimi, Rouzbeh Riazi
Article
Thermodynamics
Mohammadreza Azimi, Rouzbeh Riazi
Article
Engineering, Biomedical
Mohammadreza Azimi, Seyed Ahmad Rasoulinejad, Andrzej Pacut
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK
(2019)
Article
Engineering, Biomedical
Mohammadreza Azimi, Seyed Ahmad Rasoulinejad, Andrzej Pacut
Summary: This study aimed to investigate the impact of diabetes on iris recognition tasks and the relationship between diabetes and individual age. Through the creation of a new database and the use of different segmentation and encoding algorithms, the results provide insights into the reliability of biometric systems affected by diabetes; it also indicates the influence of age on the performance of biometric systems for individuals with diabetes.
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK
(2021)
Article
Computer Science, Hardware & Architecture
Mohammadreza Azimi, Andrzej Pacut
COMPUTERS & ELECTRICAL ENGINEERING
(2020)
Proceedings Paper
Computer Science, Hardware & Architecture
Mohammadreza Azimi, Seyed Ahmad Rasoulinejad, Andrzej Pacut
2019 SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA 2019)
(2019)
Proceedings Paper
Engineering, Multidisciplinary
Mohammadreza Azimi
2018 1ST INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN ENGINEERING SCIENCES (ARES)
(2018)
Article
Chemistry, Applied
M. Azimi, D. D. Ganji, A. Azimi, R. Riazi
INDIAN JOURNAL OF CHEMICAL TECHNOLOGY
(2018)
Article
Clinical Neurology
Abdulrasool Alaee, Ali Abbaskhanian, Maedeh Azimi, Mohammadreza Azimi
IRANIAN JOURNAL OF CHILD NEUROLOGY
(2018)
Article
Engineering, Multidisciplinary
Mohammadreza Azimi, Rouzbeh Riazi
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2017)
Article
Physics, Multidisciplinary
Mohammadreza Azimi, Rouzbeh Riazi
INDIAN JOURNAL OF PURE & APPLIED PHYSICS
(2016)
Article
Chemistry, Applied
Mohammadreza Azimi, Rouzbeh Riazi
INDIAN JOURNAL OF CHEMICAL TECHNOLOGY
(2016)
Article
Engineering, Multidisciplinary
Mohammadreza Azimi, Ahmad Mozaffari
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2015)
Article
Engineering, Multidisciplinary
M. Azimi, R. Riazi
WORLD JOURNAL OF ENGINEERING
(2015)