Feature selection is a very important direction for network intrusion detection. However, current feature technology of detection has the problems low rate and accuracy due to redundancy. An improved Butterfly Optimization Algorithm combined with Black Widow (BWO-BOA) proposed in this paper, which introduces dynamic adaptive search strategy global phase (BOA), uses movement process (BWO) algori...

clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...

Accurate prediction of soil temperature (Ts) is critical for efficient soil, water and field crop management. In this study, hourly Ts variations at 5, 10, 30 cm depth were predicted an arid site (Sirjan) a semi-humid (Sanandaj) in Iran. Existing machine learning models have high performance, but suffer from uncertainty instability prediction. Therefore, GLUE approach was implemented to quantif...

BACKGROUND Serum alkaline phosphatase (SALP) is commonly elevated in osteosarcoma patients. A number of studies have investigated the prognostic role of SALP level in patients with osteosarcoma but yielded inconsistent results. METHOD Systematic computerized searches were performed in PubMed, Embase, and Web of Science databases for relevant original articles. The pooled hazard ratios (HRs) a...

Wireless sensor network (WSN) is considered a growing research field that includes numerous nodes used to gather, process, and broadcast information. Energy efficiency one of the challenging tasks in WSN. The clustering routing are capable approaches solve issues energy enhance network’s lifetime. In this research, multi-objective-energy based black widow optimization algorithm (M-EBWOA) propos...

Aiming at the problems of slow convergence and low accuracy traditional sparrow search algorithm (SSA), a multi-strategy improved (ISSA) was proposed. Firstly, golden sine introduced in location update producers to improve global optimization capability SSA. Secondly, idea individual optimality particle swarm into position investigators speed. At same time, Gaussian disturbance optimal prevent ...

Accurate prediction of stock prices can reduce investment risks and increase returns. This paper combines the multi-source data affecting applies sentiment analysis, swarm intelligence algorithm, deep learning to build MS-SSA-LSTM model. Firstly, we crawl East Money forum posts information establish unique dictionary calculate index. Then, Sparrow Search Algorithm (SSA) optimizes Long Short-Ter...