Now showing items 63-82 of 140

    • Image stitching system with scanning microscopy for histopathological applications 

      Qidwai, Uvais; Akbar, Muhammad Ali ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Histopathological analysis of biopsy or surgical specimen is a common clinical practice for diagnostic purposes. Essentially, the process involves slicing the biopsy or surgical sample into very thin slices, placing them ...
    • Image Stitching System With Scanning Microscopy for Histopathological Applications 

      Akbar, Muhammad Ali ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      Histopathological analysis of biopsy or surgical specimen is a common clinical practice for diagnostic purposes. Essentially, the process involves slicing the biopsy or surgical sample into very thin slices, placing them ...
    • Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning 

      Gao, Ruobin; Cheng, Wen Xin; Suganthan, P. N.; Yuen, Kum Fai ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ...
    • Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things 

      Unal, Devrim; Hammoudeh, Mohammad; Khan, Muhammad Asif; Abuarqoub, Abdelrahman; Epiphaniou, Gregory; ... more authors ( Elsevier , 2021 , Article)
      Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ...
    • Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications 

      Ranasinghe, N.; Ramanan, A.; Fernando, S.; Hameed, P. N.; Herath, D.; ... more authors ( National Science Foundation , 2022 , Other)
      Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ...
    • An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization 

      Abdel-Nabi, Heba; Ali, Mostafa Z.; Awajan, Arafat; Alazrai, Rami; Daoud, Mohammad I.; ... more authors ( Elsevier Inc. , 2023 , Article)
      Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ...
    • Jointly optimized ensemble deep random vector functional link network for semi-supervised classification 

      Shi, Qiushi; Suganthan, Ponnuthurai Nagaratnam; Del Ser, Javier ( Elsevier Ltd , 2022 , Article)
      Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network ...
    • Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices 

      Hijawi, Ula; Unal, Devrim; Hamila, Ridha; Gastli, Adel; Ellabban, Omar ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Internet of Things (IoT) environments are widely employed in industrial applications including intelligent transportation systems, healthcare systems, and building energy management systems. For such environments of highly ...
    • Minimizing energy consumption of IoT devices for O-RAN based IoT systems 

      Wang, Liping; Zhou, Jianhong; Ma, Maode; Niu, Xianhua ( Elsevier , 2023 , Article)
      The implementation of Open Radio Access Network (O-RAN) architecture in Internet of Things (IoT) systems has garnered significant attention as a means to fulfill the stringent requirements of ultra-low latency and ultra-low ...
    • Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information 

      Ganaie, M. A.; Tanveer, M.; Malik, A. K.; Suganthan, P. N. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ...
    • MLP Neural Network Based Gas Classification System on Zynq SoC 

      Zhai, Xiaojun; Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      Systems based on wireless gas sensor networks offer a powerful tool to observe and analyze data in complex environments over long monitoring periods. Since the reliability of sensors is very important in those systems, gas ...
    • Monitoring DVT cuffs for long-term operation: A fuzzy approach 

      Qidwai, Uvais; Kamran, Saadat; Al-Sulaiti, Sara; Ahmed, Ghadeer; Hegazy, Asmaa ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Stroke patients, as well as all those patients who are bed-bound for a long period of time are highly susceptible to deep vein thrombosis (DVT) as secondary complexity. DVT poses more dangers of a loose blood clot obstructing ...
    • Multi-moth flame optimization for solving the link prediction problem in complex networks 

      Barham R.; Sharieh A.; Sleit A. ( Springer Verlag , 2019 , Article)
      Providing a solution for the link prediction problem attracts several computer science fields and becomes a popular challenge in researches. This challenge is presented by introducing several approaches keen to provide the ...
    • Multi-Objective Security Hardening Optimisation for Dynamic Networks 

      Enoch S.Y.; Hong J.B.; Ge M.; Khan K.M.; Kim D.S. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Hardening the dynamic networks is a very challenging task due to their complexity and dynamicity. Moreover, there may be multi-objectives to satisfy, while containing the solutions within the constraints (e.g., fixed budget, ...
    • Oblique and rotation double random forest 

      Ganaie, M. A.; Tanveer, M.; Suganthan, P. N.; Snasel, V. ( Elsevier Ltd , 2022 , Article)
      Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ...
    • Optimal sizing of a stand-alone hybrid PV-WT-BT system using artificial intelligence based technique 

      Hussain, Shahbaz; Alammari, Rashid; Iqbal, Atif; Shikfa, Abdullatif ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Nowadays, conventional energy system is being replaced by renewable energy system. Especially, PV systems and wind energy systems are gaining much attention due to their future sustainability and eco-friendly nature. ...
    • Optimizing Energy-Distortion Trade-off for Vital Signs Delivery in Mobile Health Applications 

      Almarridi A.; Kharbach S.; Yaacoub E.; Mohamed A. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Healthcare is considered a top priority worldwide, considering the swift increase in the number of chronic patients who require continuous monitoring. This motivates the researchers to develop scalable remote health ...
    • Paillier's encryption: Implementation and cloud applications 

      Nassar, Mohamed; Erradi, Abdelkarim; Malluhi, Qutaibah M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Paillier's additive homomorphic encryption is increasingly used in recent research in the field of cloud secure outsourcing and privacy-preserving computation in addition to other cryptographic tools such as garbled circuits. ...
    • Parallelizing exact motif finding algorithms on multi-core 

      Abbas, Mostafa M.; Bahig, Hazem M.; Abouelhoda, Mohamed; Mohie-Eldin, M.M. ( Springer Science+Business Media , 2014 , Article)
      The motif finding problem is one of the important and challenging problems in bioinformatics. A variety of sequential algorithms have been proposed to find exact motifs, but the running time is still not suitable due to ...
    • Performance Evaluation of No-Pairing ECC-Based KPABE on IoT Platforms 

      Hijawi, Ula; Unal, Devrim; Hamila, Ridha; Gastli, Adel; Ellabban, Omar ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Internet of Things (IoT) networks operating in lightweight resource-constrained devices have been growing constantly in a wide range of areas. Such networks collect sensitive information over time that represent the users' ...