Browsing Computer Science & Engineering by Publisher "Taylor and Francis Ltd."

Now showing items 1-6 of 6

    • Computer vision-based weight estimation of livestock: a systematic literature review 

      Dohmen, Roel; Catal, Cagatay; Liu, Qingzhi ( Taylor and Francis Ltd. , 2022 , Article Review)
      Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. To this end, several methods have been researched and implemented to automate this process. In this study, we performed a ...

    • Deep learning for crop yield prediction: a systematic literature review 

      Oikonomidis, Alexandros; Catal, Cagatay; Kassahun, Ayalew ( Taylor and Francis Ltd. , 2022 , Article Review)
      Deep Learning has been applied for the crop yield prediction problem, however, there is a lack of systematic analysis of the studies. Therefore, this study aims to provide an overview of the state-of-the-art application ...

    • Fuzzy prediction for failed back surgery syndrome 

      Qidwai, U.; Shamim, S.; Enam, A. ( Taylor and Francis Ltd. , 2010 , Article)
      In this article a new strategy is presented that can be used by neurophysicians, neurosurgeons, and orthopedic surgeons to predict patients' health after an operative procedure on the vertebral column just by analyzing the ...

    • Hybrid Deep Learning-based Models for Crop Yield Prediction 

      Oikonomidis, Alexandros; Catal, Cagatay; Kassahun, Ayalew ( Taylor and Francis Ltd. , 2022 , Article)
      Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must ...

    • Neighbourhood oriented TDMA scheme for the internet of things-enabled remote sensing 

      Khan, Mushtaq; Shah, Nadir; Khan, Rahim; Wasif Nisar, Muhammad; Khan, Mukhtaj; ... more authors ( Taylor and Francis Ltd. , 2023 , Article)
      Throughout the world, Internet of Things (IoT) have been used in different application areas to assist human beings in numerous activities such as smart buildings and cities via remote sensing-enabled techniques. However, ...

    • Predicting Plasma Vitamin C Using Machine Learning 

      Kirk, Daniel; Catal, Cagatay; Tekinerdogan, Bedir ( Taylor and Francis Ltd. , 2022 , Article)
      Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict ...