Now showing items 141-160 of 5212

    • Research Trends in Smart Cost-Effective Water Quality Monitoring and Modeling: Special Focus on Artificial Intelligence 

      Geetha, Mithra; Bonthula, Sumalatha; Al-Maadeed, Somaya; Al-Lohedan, Hamad; Rajabathar, Jothi Ramalingam; ... more authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article Review)
      Numerous conventional methods are available for analyzing various water quality parameters to determine the water quality index. However, ongoing surveillance is necessary for large bodies of water. A water quality monitoring ...
    • Advancing Rapid Arsenic (III) Detection Through Device-Integrated Colorimetry 

      Bonthula, Sumalatha; Devarajan, Surya; Maurya, Muni Raj; Al-Maadeed, Somaya; Maalej, Ramzi; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2024 , Article)
      It is essential to detect precise traces of inorganic arsenic ions when utilized, which may increase the risks of several health issues such as lung, bladder, skin cancer, and diabetes diseases. In this study, bromocresol ...
    • Advanced nutrient monitoring: Cost-effective cerium ion detection with smart device integration 

      Revathy Raghunathan, Lekshmy; Maurya, Muniraj; Geetha, Mithra; Al-Maadeed, Somaya; Maalej, Ramzi; ... more authors ( Elsevier B.V. , 2024 , Article)
      This research is critically important for large-scale poultry farming, where vigilant monitoring is necessary to assess nutrient levels in poultry feed. Detecting cerium in poultry feed through colorimetric techniques is ...
    • Deciphering metabolomics and lipidomics landscape in zebrafish hypertrophic cardiomyopathy model 

      Jacob, Shana; Abuarja, Tala; Shaath, Rulan; Hasan, Waseem; Balayya, Saroja; ... more authors ( Springer Nature , 2024 , Article)
      To elucidate the lipidomic and metabolomic alterations associated with hypertrophic cardiomyopathy (HCM) pathogenesis, we utilized cmybpc3-/- zebrafish model. Fatty acid profiling revealed variability of 10 fatty acids ...
    • المعضلة الاجتماعية للعلوم: دراسة ظاهراتية للتحول المعرفي من العلوم الطبيعية إلى الاجتماعية 

      ملكاوي, أسماء حسين; عابدين, عمر; التيجاني, ريان زايد; Malkawi, Asma H.; Abdeen, Omar; Al-Tijani, Rayyan Zaied... more authors ( جامعة بغداد - كلية التربية ابن رشد , 2024 , Article)
      يهدف البحث إلى فهم ظاهرة التحول المعرفي المتمثلة بدراسة تخصص اجتماعي بعد إكمال الحصول على درجة جامعية في تخصص طبيعي. ووسعى إلى تفكيك دوافع هذا التحول وسياقاته الزمنية وتحدياته. استخدم البحث منهجا نوعيا ظاهراتياً (phenomenological ...
    • Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021 

      Dana, Bryazka; Reitsma, Marissa B; Abate, Yohannes Habtegiorgis; Abd Al Magied, Abdallah H A; Abdelkader, Atef; ... more authors ( Elsevier , 2024 , Article)
      BackgroundSmoking is the leading behavioural risk factor for mortality globally, accounting for more than 175 million deaths and nearly 4·30 billion years of life lost (YLLs) from 1990 to 2021. The pace of decline in smoking ...
    • Technology In Response To The Pandemic: A Social Network Analysis Of Qataris' Attitudes Towards The Covid-19 Mandatory Tracing App 

      Malkawi, Asma H.; Ebaidalla, Ebaidalla M.; Al Ganideh, Saeb; Benlahcene, Badrane ( University Mohamed Khider / Biskra , 2024 , Article)
      Purpose: This study aims to explor Qatari public perception of EHTERAZ, a compulsory government-backed contact tracing application, by performing a sentiment analysis of tweets pertaining to this app. Methods: The software ...
    • Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models 

      Ali, Hassan; Butt, Muhammad Atif; Filali, Fethi; Al-Fuqaha, Ala; Qadir, Junaid ( IEEE , 2024 , Article)
      Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city management. However, DL models have been known ...
    • Peer-to-peer content sharing techniques for energy efficiency in wireless networks with fast channel variations 

      Atat, Rachad; Yaacoub, Elias; Alouini, Mohamed-Slim; Abu-Dayya, Adnan ( CRC Press , 2013 , Book chapter)
      According to the International Telecommunication Union, information and communication technology (ICT) was emitting 0.83 GtCO2e (gigatons of carbon dioxide equivalent), contributing to around 2%-2.5% of global greenhouse ...
    • Smart grid energy procurement for green LTE cellular networks 

      Ghazzai, Hakim; Yaacoub, Elias; Alouini, Mohamed-Slim; Abu-Dayya, Adnan ( CRC Press , 2013 , Book chapter)
      Smart grid is becoming a new global commercial venture widely seen as a means to upgrade electrical infrastructure to enhance power savings and optimize some green goals of consumers by reducing greenhouse gas emissions ...
    • Interplay between cooperative device-to-device communications and green LTE cellular networks 

      Yaacoub, Elias; Ghazzai, Hakim; Alouini, Mohamed-Slim; Abu-Dayya, Adnan ( CRC Press , 2013 , Book chapter)
      Traditional efforts for saving energy in cellular networks focus on reducing the transmit powers of base stations (BSs) and mobile devices. However, when a BS is in its working mode, studies show that more than 50% of the ...
    • Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks 

      Almehdhar, Mohammed; Albaseer, Abdullatif; Khan, Muhammad Asif; Abdallah, Mohamed; Menouar, Hamid; ... more authors ( IEEE , 2024 , Article)
      The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey ...
    • A game theoretic framework for green hetnets using D2D traffic offload and renewable energy powered base stations 

      Yaacoub, Elias; Ghazzai, Hakim; Alouini, Mohamed-Slim ( IGI Global , 2015 , Book chapter)
      This chapter investigates the interplay between cooperative device-to-device (D2D) communications and green communications in LTE heterogeneous networks (HetNets). Two game theoretic concepts are studied and analyzed in ...
    • A game theoretic framework for green HetNets using D2D traffic offload and renewable energy powered base stations 

      Yaacoub, Elias; Ghazzai, Hakim; Alouini, Mohamed-Slim ( IGI Global , 2016 , Book chapter)
      This chapter investigates the interplay between cooperative device-to-device (D2D) communications and green communications in LTE heterogeneous networks (HetNets). Two game theoretic concepts are studied and analyzed in ...
    • Fair optimization of video streaming quality of experience in LTE networks using distributed antenna systems and radio resource management 

      Elias, Yaacoub; Dawy, Zaher ( John Wiley and Sons Ltd , 2014 , Article)
      Network quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding ...
    • Planning future cellular networks: A generic framework for performance quantification 

      Imran, Ali; Yaacoub, Elias; Dawy, Zaher; Abu-Dayya, Adnan ( VDE VERLAG GMBH , 2013 , Conference Paper)
      The new pressing expectations from emerging cellular systems such as energy efficiency, heterogeneity of cell sizes and base station types, focus shift to capacity from coverage, and demand for homogeneity of service ...
    • Statistical link budget analysis approach for LTE cellular network dimensioning 

      Jaber, Mona; Akl, Naeem; Dawy, Zaher; Yaacoub, Elias ( VDE VERLAG GMBH , 2014 , Conference Paper)
      Radio network dimensioning is an essential step towards designing a cellular network and has traditionally relied on a pragmatic approach to capture the effects of fading and shadowing on the system interference. However, ...
    • Enhancing the QoS of real-time video streaming over LTE MBMS using D2D communications 

      Yaacoub, Elias; Abu-Dayya, Adnan ( Association for Computing Machinery , 2012 , Conference Paper)
      Real-time video streaming over LTE multicast and broadcast multimedia services (MBMS) is investigated. The impact of device-to-device (D2D) communications in enhancing the quality of service (QoS) and reducing energy ...
    • An energy-efficient M2M communication method for leakage detection in underground water pipes 

      Yaacoub, Elias; Kadri, Abdullah; Abu-Dayya, Adnan ( Association for Computing Machinery , 2012 , Conference Paper)
      An application of machine-to-machine (M2M) communication for leakage detection in underground water infrastructures is considered. A mobile sensor immersed in the water pipe is assumed to communicate with relay nodes on ...
    • LTE BS placement optimization using simulated annealing in the presence of femtocells 

      Yaacoub, Elias; Dawy, Zaher ( VDE VERLAG GMBH , 2014 , Conference Paper)
      In this paper, we address the phase of radio network planning and optimization (RNPO) related to base station (BS) deployment in the presence of femtocell access points (FAPs). After determining an approximate number of ...