Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review [0.03%]
用于预测气道疾病的人工智能技术系统评价
Apeksha Koul,Rajesh K Bawa,Yogesh Kumar
Apeksha Koul
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year. It is also considered one of the foremost causes of death all around the globe by 2030. Numerous studies have been undertaken to demonstrate th...
A Comprehensive Review of Bat Inspired Algorithm: Variants, Applications, and Hybridization [0.03%]
蝙蝠算法综述：变体、应用与混合型算法
Mohammad Shehab,Muhannad A Abu-Hashem,Mohd Khaled Yousef Shambour et al.
Mohammad Shehab et al.
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in dealing with various optimization problems in diverse fields, such as power and energy systems, economic load dispatch problems, engineering de...
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements [0.03%]
微藻生物量测量的图像分析方法综述与定量比较研究
Jiawei Zhang,Chen Li,Md Mamunur Rahaman et al.
Jiawei Zhang et al.
With the acceleration of urbanization and living standards, microorganisms play an increasingly important role in industrial production, bio-technique, and food safety testing. Microorganism biovolume measurements are one of the essential p...
Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications [0.03%]
基于火焰moth算法的理论、改进、杂交和应用综述
Saroj Kumar Sahoo,Apu Kumar Saha,Absalom E Ezugwu et al.
Saroj Kumar Sahoo et al.
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is applied to solve complex real-world optimization problems in numerous domains. MFO and its variants are easy to understand and simple to operate. Ho...
Farhad Soleimanian Gharehchopogh,Mohammad Namazi,Laya Ebrahimi et al.
Farhad Soleimanian Gharehchopogh et al.
Mathematical programming and meta-heuristics are two types of optimization methods. Meta-heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural behaviours or occurrences and provide benefits such as simplicity...
Review of Protocol Stack Development of Flying Ad-hoc Networks for Disaster Monitoring Applications [0.03%]
用于灾害监测的飞网络协议栈研发综述
Ruchi Dhall,Sarang Dhongdi
Ruchi Dhall
When disasters such as floods or earthquakes occur, we may not have a support of regular infrastructure based networks. This proves fatal because people who are trapped can not be easily located by search and rescue team. In such cases, air...
Computer Based Diagnosis of Some Chronic Diseases: A Medical Journey of the Last Two Decades [0.03%]
基于计算机的慢性疾病诊断：过去二十年的医学历程
Samir Malakar,Soumya Deep Roy,Soham Das et al.
Samir Malakar et al.
Disease prediction from diagnostic reports and pathological images using artificial intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in recent days. Researchers are striving to achieve near-perfect res...
A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends [0.03%]
数据包络分析模型四十周年回顾：历史发展及现状趋势评论
Ankita Panwar,Maryam Olfati,Millie Pant et al.
Ankita Panwar et al.
DEA, incepted in 80s, has emerged as a popular decision-making technique, for determining the efficiency of similar units. Due to its simplicity and applicability, DEA has gained the attention of scientists and researchers working in divers...
Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding [0.03%]
受人类启发的优化算法：理论基础、算法、开放性研究问题及多级阈值的应用
Rebika Rai,Arunita Das,Swarnajit Ray et al.
Rebika Rai et al.
Humans take immense pride in their ability to be unpredictably intelligent and despite huge advances in science over the past century; our understanding about human brain is still far from complete. In general, human being acquire the high ...
Ahmad Alsharef,Karan Aggarwal,Sonia et al.
Ahmad Alsharef et al.
Time-series forecasting is a significant discipline of data modeling where past observations of the same variable are analyzed to predict the future values of the time series. Its prominence lies in different use cases where it is required,...