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Ensemble Deep Learning Based Air Pollution Prediction for Sustainable Smart Cities
《Computer Systems Science & Engineering》2024年第3期627-643,共17页Maha Farouk Sabir Mahmoud Ragab Adil O.Khadidos Khaled H.Alyoubi Alaa O.Khadidos 
funded by the Deanship of Scientific Research(DSR),King Abdulaziz University(KAU),Jeddah,Saudi Arabia under Grant No.(IFPIP:631-612-1443).
Big data and information and communication technologies can be important to the effectiveness of smart cities.Based on the maximal attention on smart city sustainability,developing data-driven smart cities is newly ob...
关键词:SUSTAINABILITY smart cities air pollution prediction ensemble learning coot optimization algorithm 
Entropy Based Feature Fusion Using Deep Learning for Waste Object Detection and Classification Model
《Computer Systems Science & Engineering》2023年第12期2953-2969,共17页Ehab Bahaudien Ashary Sahar Jambi Rehab B.Ashari Mahmoud Ragab 
funded by Institutional Fund Projects under Grant No. (IFPIP:557-135-1443).
Object Detection is the task of localization and classification of objects in a video or image.In recent times,because of its widespread applications,it has obtained more importance.In the modern world,waste pollution...
关键词:Object detection object classification waste management deep learning feature fusion 
SlowFast Based Real-Time Human Motion Recognition with Action Localization
《Computer Systems Science & Engineering》2023年第11期2135-2152,共18页Gyu-Il Kim Hyun Yoo Kyungyong Chung 
supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2020R1A6A1A03040583);supported by Kyonggi University’s Graduate Research Assistantship 2023.
Artificial intelligence is increasingly being applied in the field of video analysis,particularly in the area of public safety where video surveillance equipment such as closed-circuit television(CCTV)is used and auto...
关键词:Artificial intelligence convolutional neural network video analysis human action recognition skeleton extraction 
Chicken Swarm Optimization with Deep Learning Based Packaged Rooftop Units Fault Diagnosis Model
《Computer Systems Science & Engineering》2023年第10期221-238,共18页G.Anitha N.Supriya Fayadh Alenezi E.Laxmi Lydia Gyanendra Prasad Joshi Jinsang You 
This work was supported by Institute of Information&communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.2020-0-00107,Development of the technology to automate the recommendations for big data analytic models that define data characteristics and problems).
Rooftop units(RTUs)were commonly employed in small commercial buildings that represent that can frequently do not take the higher level maintenance that chillers receive.Fault detection and diagnosis(FDD)tools can be ...
关键词:Rooftop units chicken swarm optimization hyperparameter metaheuristics deep learning fault diagnosis 
Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19
《Computer Systems Science & Engineering》2023年第10期791-807,共17页Sundas Rukhsar Mazhar Javed Awan Usman Naseem Dilovan Asaad Zebari Mazin Abed Mohammed Marwan Ali Albahar Mohammed Thanoon Amena Mahmoud 
The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:(22UQU4400257DSR01).
Web-blogging sites such as Twitter and Facebook are heavily influenced by emotions,sentiments,and data in the modern era.Twitter,a widely used microblogging site where individuals share their thoughts in the form of t...
关键词:COVID-19 artificial intelligence machine learning deep learning sentimental analysis support vector classifier 
A Hierarchal Clustered Based Proactive Caching in NDN-Based Vehicular Network被引量:1
《Computer Systems Science & Engineering》2023年第10期1185-1208,共24页Muhammad Yasir Khan Muhammad Adnan Jawaid Iqbal Noor ul Amin Byeong-Hee Roh Jehad Ali 
This work was supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2023-2018-0-01431)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
An Information-Centric Network(ICN)provides a promising paradigm for the upcoming internet architecture,which will struggle with steady growth in data and changes in accessmodels.Various ICN architectures have been de...
关键词:Vehicular network named data networking CACHING hierarchical architecture 
Design of Evolutionary Algorithm Based Unequal Clustering for Energy Aware Wireless Sensor Networks
《Computer Systems Science & Engineering》2023年第10期1283-1297,共15页Mohammed Altaf Ahmed T.Satyanarayana Murthy Fayadh Alenezi E.Laxmi Lydia Seifedine Kadry Yena Kim Yunyoung Nam 
This research was supported by the MSIT(Ministry of Science and ICT);Korea,under the ICAN(ICT Challenge and Advanced Network of HRD)program(IITP-2022-2020-0-01832)supervised by the IITP(Institute of Information&Communications Technology Planning&Evaluation)and the Korea Technology and Information Promotion Agency(TIPA)for SMEs grant funded by the Korea government(Ministry of SMEs and Startups)(No.S3271954)and the Soonchunhyang University Research Fund。
Wireless Sensor Networks(WSN)play a vital role in several real-time applications ranging from military to civilian.Despite the benefits of WSN,energy efficiency becomes a major part of the challenging issue in WSN,whi...
关键词:Wireless sensor networks energy efficiency cluster heads unequal clustering hot spot issue lifetime enhancement 
SMOGN,MFO,and XGBoost Based Excitation Current Prediction Model for Synchronous Machine
《Computer Systems Science & Engineering》2023年第9期2687-2709,共23页Ping-Huan Kuo Yu-Tsun Chen Her-Terng Yau 
This work was supported by the Ministry of Science and Technology,Taiwan,under Grants MOST 110-2221-E-194-037,NSTC 111-2823-8-194-002,111-2221-E-194-052 and 11-2218-E-194-007。
The power factor is the ratio between the active and apparent power,and it is available to determine the operational capability of the intended circuit or the parts.The excitation current of the synchronous motor is a...
关键词:Synchronous machine power factor excitation current active power apparent power 
Optimal Quad Channel Long Short-Term Memory Based Fake News Classification on English Corpus
《Computer Systems Science & Engineering》2023年第9期3303-3319,共17页Manar Ahmed Hamza Hala J.Alshahrani Khaled Tarmissi Ayman Yafoz Amal S.Mehanna Ishfaq Yaseen Amgad Atta Abdelmageed Mohamed I.Eldesouki 
Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R281);PrincessNourah bint Abdulrahman University,Riyadh,Saudi Arabia.The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:(22UQU4331004DSR41).
The term‘corpus’refers to a huge volume of structured datasets containing machine-readable texts.Such texts are generated in a natural communicative setting.The explosion of social media permitted individuals to spr...
关键词:English corpus fake news detection social media natural language processing artificial intelligence deep learning 
Design of ANN Based Non-Linear Network Using Interconnection of Parallel Processor
《Computer Systems Science & Engineering》2023年第9期3491-3508,共18页Anjani Kumar Singha Swaleha Zubair Areej Malibari Nitish Pathak Shabana Urooj Neelam Sharma 
This research is funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R 151);Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
Suspicious mass traffic constantly evolves,making network behaviour tracing and structure more complex.Neural networks yield promising results by considering a sufficient number of processing elements with strong inte...
关键词:Artificial neural network(ANN) MULTIPROCESSOR hidden node nonlinear optimization parallel processing 
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