Open Access

ARTICLE

Wen-Tsai Sung¹, Guan-Rong Chen¹, Sung-Jung Hsiao^2,*
Computer Systems Science and Engineering, Vol.45, No.1, pp. 839-855, 2023, DOI:10.32604/csse.2023.030408
Abstract We often need to identify the colors of such objects as buildings, clothing, photos, and traffic signs in everyday life. Some people cannot distinguish among such colors. This study proposes a method to help people, including colorblind people, identify colors. We establish a platform for color identification that is connected by the Internet of Things (IoT). The Espressif Systems 32 (ESP32) single chip is connected to a Wi-Fi communication network to transmit data to the color identification platform. The system interface is displayed in the form of color code and color name display. The speech synthesis module Speech Synthesizer Node… More >

View

960

Download

638

Open Access

ARTICLE

Mohemmed Sha^*
Computer Systems Science and Engineering, Vol.45, No.1, pp. 857-868, 2023, DOI:10.32604/csse.2023.031321
Abstract The use of Amazon Web Services is growing rapidly as more users are adopting the technology. It has various functionalities that can be used by large corporates and individuals as well. Sentiment analysis is used to build an intelligent system that can study the opinions of the people and help to classify those related emotions. In this research work, sentiment analysis is performed on the AWS Elastic Compute Cloud (EC2) through Twitter data. The data is managed to the EC2 by using elastic load balancing. The collected data is subjected to preprocessing approaches to clean the data, and then machine… More >

View

1184

Download

962

Open Access

ARTICLE

Sirisati Ranga Swamy¹, S. Phani Praveen², Shakeel Ahmed^3,*, Parvathaneni Naga Srinivasu⁴, Abdulaziz Alhumam³
Computer Systems Science and Engineering, Vol.45, No.1, pp. 869-886, 2023, DOI:10.32604/csse.2023.029822
Abstract Coronavirus 2019 (COVID -19) is the current global buzzword, putting the world at risk. The pandemic’s exponential expansion of infected COVID-19 patients has challenged the medical field’s resources, which are already few. Even established nations would not be in a perfect position to manage this epidemic correctly, leaving emerging countries and countries that have not yet begun to grow to address the problem. These problems can be solved by using machine learning models in a realistic way, such as by using computer-aided images during medical examinations. These models help predict the effects of the disease outbreak and help detect the… More >

View

1184

Download

602

Open Access

ARTICLE

Kavitha Muthukumaran^*, K. Hariharanath, Vani Haridasan
Computer Systems Science and Engineering, Vol.45, No.1, pp. 887-901, 2023, DOI:10.32604/csse.2023.030627
Abstract Financial crisis prediction (FCP) received significant attention in the financial sector for decision-making. Proper forecasting of the number of firms possible to fail is important to determine the growth index and strength of a nation’s economy. Conventionally, numerous approaches have been developed in the design of accurate FCP processes. At the same time, classifier efficacy and predictive accuracy are inadequate for real-time applications. In addition, several established techniques carry out well to any of the specific datasets but are not adjustable to distinct datasets. Thus, there is a necessity for developing an effectual prediction technique for optimum classifier performance and… More >

View

893

Download

618

Open Access

ARTICLE

R. Nithya^1,*, Roobaea Alroobaea², Ahmed Binmahfoudh³, Zairi Ismael Rizman⁴
Computer Systems Science and Engineering, Vol.45, No.1, pp. 903-924, 2023, DOI:10.32604/csse.2023.030749
Abstract The purpose of sensing the environment and geographical positions, device monitoring, and information gathering are accomplished using Wireless Sensor Network (WSN), which is a non-dependent device consisting of a distinct collection of Sensor Node (SN). Thus, a clustering based on Energy Efficient (EE), one of the most crucial processes performed in WSN with distinct environments, is utilized. In order to efficiently manage energy allocation during sensing and communication, the present research on managing energy efficiency is performed on the basis of distributed algorithm. Multiples of EE methods were incapable of supporting EE routing with MIN-EC in WSN in spite of… More >

View

803

Download

627

Open Access

ARTICLE

M. Suresh Kumar^1,*, T. Purosothaman²
Computer Systems Science and Engineering, Vol.45, No.1, pp. 925-938, 2023, DOI:10.32604/csse.2023.027315
Abstract The expanding and ubiquitous availability of the Internet of Things (IoT) have changed everyone’s life easier and more convenient. Same time it also offers a number of issues, such as effectiveness, security, and excessive power consumption, which constitute a danger to intelligent IoT-based apps. Group managing is primarily used for transmitting and multi-pathing communications that are secured with a general group key and it can only be decrypted by an authorized group member. A centralized trustworthy system, which is in charge of key distribution and upgrades, is used to maintain group keys. To provide longitudinal access controls, Software Defined Network… More >

View

982

Download

487

Open Access

ARTICLE

Sindhuja Manickavasagam^1,*, Poonkuzhali Sugumaran²
Computer Systems Science and Engineering, Vol.45, No.1, pp. 939-953, 2023, DOI:10.32604/csse.2023.030491
Abstract The combination of machine learning (ML) approaches in healthcare is a massive advantage designed at curing illness of millions of persons. Several efforts are used by researchers for detecting and providing primary phase insights as to cancer analysis. Lung cancer remained the essential source of disease connected mortality for both men as well as women and their frequency was increasing around the world. Lung disease is the unrestrained progress of irregular cells which begin off in one or both Lungs. The previous detection of cancer is not simpler procedure however if it can be detected, it can be curable, also… More >

View

840

Download

809

Open Access

ARTICLE

Anwer Mustafa Hilal^1,*, Jaber S. Alzahrani², Dalia H. Elkamchouchi³, Majdy M. Eltahir⁴, Ahmed S. Almasoud⁵, Abdelwahed Motwakel¹, Abu Sarwar Zamani¹, Ishfaq Yaseen¹
Computer Systems Science and Engineering, Vol.45, No.1, pp. 955-969, 2023, DOI:10.32604/csse.2023.030132
Abstract Recently, unmanned aerial vehicles (UAV) or drones are widely employed for several application areas such as surveillance, disaster management, etc. Since UAVs are limited to energy, efficient coordination between them becomes essential to optimally utilize the resources and effective communication among them and base station (BS). Therefore, clustering can be employed as an effective way of accomplishing smart communication systems among multiple UAVs. In this aspect, this paper presents a group teaching optimization algorithm with deep learning enabled smart communication system (GTOADL-SCS) technique for UAV networks. The proposed GTOADL-SCS model encompasses a two stage process namely clustering and classification. At… More >

View

775

Download

508

Open Access

ARTICLE

Eatedal Alabdulkreem¹, Saud S. Alotaibi², Mohammad Alamgeer^3,4, Radwa Marzouk⁵, Anwer Mustafa Hilal^6,*, Abdelwahed Motwakel⁶, Abu Sarwar Zamani⁶, Mohammed Rizwanullah⁶
Computer Systems Science and Engineering, Vol.45, No.1, pp. 971-983, 2023, DOI:10.32604/csse.2023.030362
Abstract Cyberattack detection has become an important research domain owing to increasing number of cybercrimes in recent years. Both Machine Learning (ML) and Deep Learning (DL) classification models are useful in effective identification and classification of cyberattacks. In addition, the involvement of hyper parameters in DL models has a significantly influence upon the overall performance of the classification models. In this background, the current study develops Intelligent Cybersecurity Classification using Chaos Game Optimization with Deep Learning (ICC-CGODL) Model. The goal of the proposed ICC-CGODL model is to recognize and categorize different kinds of attacks made upon data. Besides, ICC-CGODL model primarily… More >

View

1113

Download

478

Open Access

ARTICLE

V. Krishnakumar^*, R. Asokan
Computer Systems Science and Engineering, Vol.45, No.1, pp. 985-1000, 2023, DOI:10.32604/csse.2023.029189
Abstract Wireless sensor Mobile ad hoc networks have excellent potential in moving and monitoring disaster area networks on real-time basis. The recent challenges faced in Mobile Ad Hoc Networks (MANETs) include scalability, localization, heterogeneous network, self-organization, and self-sufficient operation. In this background, the current study focuses on specially-designed communication link establishment for high connection stability of wireless mobile sensor networks, especially in disaster area network. Existing protocols focus on location-dependent communications and use networks based on typically-used Internet Protocol (IP) architecture. However, IP-based communications have a few limitations such as inefficient bandwidth utilization, high processing, less transfer speeds, and excessive memory… More >

View

1092

Download

597

Like

1