Comparative Performanceof Subcarrier Schedulers in Uplink LTE-A under High Users’ Mobility

Omar

et al. 2021

With the exponential growth of the information on the Internet, there is a high demand for making this information readable and processable by machines. For this purpose, there is a need for the Natural Language Processing (NLP) pipeline. Natural language analysis is a tool used by computers to grasp, perceive, and control human language. This paper discusses various techniques addressed by different researchers on NLP and compares their performance. The comparison among the reviewed researches illustrated that good accuracy levels haved been achieved. Adding to that, the researches that depended on the Sentiment Analysis and ontology methods achieved small prediction error. The syntactic analysis or parsing or syntax analysis is the third stage of the NLP as a conclusion to use NLP technology. This step aims to accurately mean or, from the text, you may state a dictionary meaning. Syntax analysis analyzes the meaning of the text in comparison with the formal grammatical rules.

Review on Natural Language Processing Based on Different Techniques

Maulud

Omar

et al. 2021

A State of Art for Survey of Combined Iris and Fingerprint Recognition Systems

Ahmed

Omar

et al. 2021

Biometrics is developing into a technological science in this lifelong technology for the defense of identification. Biometrics is the technology to recognize individuals based on facial features, fingerprints, iris, retina, speech, handprints, etc. Biometric features are used for human recognition and identification. Much research was done in the last years on the biometric system because of a growing need for identification methods. This paper offers an overview of biometric solutions using fingerprint and iris identification, their uses, and Compare the data set, methods, Fusion Level, and the accuracy of the results.

Web Server Performance Improvement Using Dynamic Load Balancing Techniques: A Review

Ibrahim

Yasin

et al. 2021

Today, web services rapidly increased and are accessed by many users, leading to massive traffic on the Internet. Hence, the web server suffers from this problem, and it becomes challenging to manage the total traffic with growing users. It will be overloaded and show response time and bottleneck, so this massive traffic must be shared among several servers. Therefore, the load balancing technologies and server clusters are potent methods for dealing with server bottlenecks. Load balancing techniques distribute the load among servers in the cluster so that it balances all web servers. The motivation of this paper is to give an overview of the several load balancing techniques used to enhance the efficiency of web servers in terms of response time, throughput, and resource utilization. Different algorithms are addressed by researchers and get good results like the pending job, and IP hash algorithms achieve better performance.