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Spot-out fruit fly algorithm with simulated annealing optimized SVM for detecting tomato plant diseases
Crop diseases are a huge threat to food security, yet timely detection is a difficult task due to the absence of infrastructure in various regions of...
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Enhancing PAPR performance in MIMO-OFDM system using hybrid optimal MMSE-MLSE equalizers
Wireless communication technologies are playing a very important role in the modern world. The use of multiple antennas with orthogonal frequency...
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Object pose estimation for robot loading in accommodation space using alpha-shape algorithm
Robots with visual sensors have been used in various goods logistics, such as bin picking or uploading. However, there are more and more demands for...
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Digital mammogram classification using 2D-BDWT and GLCM features with FOA-based feature selection approach
This paper proposes an improved computer-aided diagnosis model to identify mammographic images as normal or abnormal, and further, benign or...
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24-hour average PM2.5 concentration caused by aircraft in Chinese airports from Jan. 2006 to Dec. 2023
Since 2006, the rapid development of China’s aviation industry has been accompanied by a significant increase in one of its emissions, namely, PM2.5,...
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Ultrasonic Localization of Transformer Partial Discharge Based on Improved Fruit Fly Algorithm
In order to improve the positioning accuracy of the ultrasonic transformer partial discharge source, An ultrasonic localization method for...
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A constrained multi-period portfolio optimization model based on quantum-inspired optimization
Multi-period portfolio optimization (MPO) is one of the most important problems to be solved to help investors select optimal portfolios for...
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A new function of a putative UDP-glucose 4-epimerase on the expression of glycoside hydrolase genes in Aspergillus aculeatus
AbstractIn order to figure out the induction mechanisms of glycoside hydrolase genes in Aspergillus aculeatus , we screened approximately 9,000...
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SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network
Sentiment analysis is one of the efficient models for extracting opinion mining with identification and classification from unstructured text data...
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A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture
BackgroundPaclitaxel is a well-known chemotherapeutic agent widely applied as a therapy for various types of cancers. In vitro culture of Corylus...
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Exposure Therapy and Its Mechanisms
Exposure therapy is the gold-standard treatment approach for pathological anxiety. This therapeutic approach builds on principles of extinction...
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An Improved Method for Distributed Localization in WSNs Based on Fruit Fly Optimization Algorithm
AbstractThe use of a localization system is necessary in Wireless Sensor Networks (WSN) either for communication protocols (geographic routing) or...
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Accounting for the aircraft emissions of China’s domestic routes during 2014–2019
The “13th Five-Year Plan” of civil aviation energy conservation and emission reduction impacts China’s domestic aviation exchanges. However, few...
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HOA—Higher Order Ambisonics (Eigenmike®)
This chapterAmbisonics starts with anEigenmike® EM32 analysis of the reproduction accuracy limits of higher order AmbisonicsAmbisonics (HOA)...
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RF Chain Selection Using Hybrid Optimization with Precoding in mm-Wave Massive MIMO Systems
Energy efficiency is considered the prominent metric in data communication systems and has a greater impact on designing Millimetre-wave (mm-wave)...
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Fruit fly optimization algorithm multi-objective control method for MMC traction power supply system with unbalanced distribution network
When distribution voltage is unbalanced, the voltage and current on the AC side of the traction power supply system based on a modular multilevel...
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Genetic Manipulation of Haloferax Species
In this chapter, we describe the reverse genetics methodology behind generating a targeted gene deletion or replacement in archaeal species of the...
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Demand forecasting model of coal logistics based on drosophila-grey neural network
The demanding forecast of coal logistics is the premise of integrating coal logistics resources and improving its efficiency. First, we considered...
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A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments
In unknown environments, multiple-robot cooperation for target searching is a hot and difficult issue. Swarm intelligence algorithms, such as...
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Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting
Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines, because it frequently reduces economic benefits and seriously...
