Showing 61 - 80 results of 695 for search '(( greater decrease ) OR ((( ((deed OR deep) OR lives) increase ) OR ( per decrease ))))*', query time: 0.24s Refine Results
  1. 61

    Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery by Hoang Thanh Le (18940666)

    Published 2020
    “…<p dir="ltr">With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. …”
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    Face Segmentation: A Journey From Classical to Deep Learning Paradigm, Approaches, Trends, and Directions by Khalil Khan (9333883)

    Published 2020
    “…Over the last two decades, methods for face segmentation have received increasing attention due to their diverse applications in several human-face image analysis tasks. …”
  5. 65

    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    Published 2021
    “…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”
  6. 66

    Quantum Chemistry Insight into the Interactions Between Deep Eutectic Solvents and SO<sub>2</sub> by Mert Atilhan (1272906)

    Published 2019
    “…<p dir="ltr">A systematic research work on the rational design of task specific Deep Eutectic Solvents (DES) has been carried out via density functional theory (DFT) in order to increase knowledge on the key interaction parameters related to efficient SO<sub>2</sub> capture by DES at a molecular level. …”
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    Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

    Published 2024
    “…<p dir="ltr">Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. …”
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    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

    Published 2023
    “…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
  13. 73

    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

    Published 2023
    “…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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  14. 74

    Living Materials: Preserving Student Innovation in Art and Science through Digital Twins and AI in Partnership with Qatar National Library : What Happens To Your Work After You Gra... by Arif Shaon (13761784)

    Published 2026
    “…The presentation also situates student work within a broader global research ecosystem, emphasizing citability, verification, and long-term impact in an era increasingly shaped by AI-generated content.</p><p dir="ltr">This resource is intended for students, educators, librarians, and institutions interested in sustainable models for preserving student innovation, practice-led research, and interdisciplinary creative outputs.…”
  15. 75

    Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

    Published 2022
    “…For complicated and ambiguous situations, deep learning technology provides accurate predictions. …”
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    Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition by Albadawi, Yaman

    Published 2024
    “…With the growth in the wearable device market, wearable sensor-based human activity recognition systems have been gaining increasing interest in research because of their rising demands in many areas. …”
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  19. 79

    From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

    Published 2023
    “…Moreover, machine learning (ML) and deep learning (DL) techniques are utilized to classify occupancy patterns. …”
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    The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach by Munem Nerabie, Abdul

    Published 2021
    “…Furthermore, our proposed corpus was used to train a custom Long Short-Term Memory deep learning model and showed excellent performance in terms of sentiment classification accuracy and F1-score. …”
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