Search alternatives:
decrease » increase (Expand Search)
Showing 281 - 300 results of 1,059 for search '(( significant learning based ) OR ( significant ((genres decrease) OR (a decrease)) ))', query time: 0.18s Refine Results
  1. 281

    Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger by Mariem Mhiri (17991544)

    Published 2025
    “…Equipment failures pose significant risks, leading to production halts and quality degradation. …”
  2. 282

    Mutations in L-type amino acid transporter-2 support SLC7A8 as a novel gene involved in age-related hearing loss by Meritxell Espino Guarch (18810097)

    Published 2018
    “…Significant decreases in SLC7A8 transport activity was detected for patient’s variants (p.Val302Ile, p.Arg418His, p.Thr402Met and p.Val460Glu) further supporting a causative role for SLC7A8 in ARHL. …”
  3. 283

    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort by Sergio Márquez-Sánchez (19437985)

    Published 2023
    “…<p dir="ltr">Nowadays, in contemporary building and energy management systems (BEMSs), the predominant approach involves rule-based methodologies, typically employing supervised or unsupervised learning, to deliver energy-saving recommendations to building occupants. …”
  4. 284
  5. 285

    PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad (19997799)

    Published 2024
    “…Additionally, a new strategy using similarity-based selective training reduces the amount of data required for the training of an incremental learning-based model, focusing on the most relevant data to improve efficiency. …”
  6. 286

    Precision biomarker discovery in hypertension through explainable AI and proteomics by Karthik Sekaran (16845959)

    Published 2026
    “…<p dir="ltr">Hypertension is a major global health burden and a leading driver of cardiovascular disease, yet reliable blood-based biomarkers for early disease are still limited. …”
  7. 287
  8. 288

    A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns by Md Ferdous Wahid (13485799)

    Published 2023
    “…This study proposes a hybrid scheme where two machine-learning (ML) models are coupled in a series to predict the PG value without any conclusive FP information. …”
  9. 289

    Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption by Esmat, Zaidan

    Published 2024
    “…The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”
    Get full text
    Get full text
    Get full text
    article
  10. 290

    PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir (6182237)

    Published 2025
    “…To address this problem, we propose PneuX-Net, an ensemble-based feature extraction framework that integrates multiple machine learning (ML) models Random Forest (RF), Gaussian Naïve Bayes (GNB) and K-Nearest Centroid (KNC). …”
  11. 291

    A New Forensic Video Database for Source Smartphone Identification: Description and Analysis by Younes Akbari (16303286)

    Published 2022
    “…On the other hand, rapidly growing internet technology has contributed significantly to the widespread use of digital video via web-based multimedia systems and mobile smartphone applications such as YouTube, Facebook, Twitter, WhatsApp, etc. …”
  12. 292
  13. 293

    The Mohammed bin Rashid's Smart Learning Program (SLP) Initiative in the Ministry of Education and its impact on English language performance in Cycle2 Classes, in the United Arab... by Galil, Tamer Elsayed Abdel

    Published 2014
    “…Technology-based learning in Ministry of Education schools is an area that has a great priority aimed to assist students to adopt modern smart Technologies. …”
    Get full text
  14. 294
  15. 295

    AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks by Faria Nawshin (21841598)

    Published 2024
    “…To the best of our knowledge, this is the first work to categorize Android malware based on both static and dynamic features through a privacy-preserving <u>neural network model.…”
  16. 296

    An Investigation of the Development and Implementation of Teacher's Licensing in Saudi Arabia Based on Local Stakeholders' Perceptions, Compared to International and Regional Pract... by HAMEEDADIN, AMAL ABDULLAH

    Published 2023
    “…It is widely agreed among stakeholders in the education industry that teachers are central to the learning and teaching processes. However, promoting teacher quality concerns leaders in the education sector, and significant efforts to raise teacher quality are paramount to government leaders. …”
    Get full text
  17. 297

    Effectiveness of Concept Mapping: A Constructivist based Educational Strategy on Grade Seven Arab Students' Academic Achievement in Chemistry by Thomas, Nimmy M.

    Published 2016
    “…The present study aimed to determine the effects of concept mapping, a constructivist based learning strategy, on academic achievement in chemistry. …”
    Get full text
  18. 298

    Beyond the surface: stylometric analysis of GPT-4o’s capacity for literary style imitation by George Mikros (19197997)

    Published 2025
    “…Imitations generated via in-context learning showed improved alignment with the original authors but still exhibited significant overlap with generic GPT outputs.…”
  19. 299

    Domain Adaptation with Adversarial Training and Graph Embeddings by Firoj Alam (14158866)

    Published 2018
    “…We propose a novel model that performs adversarial learning based domain adaptation to deal with distribution drifts and graph based semi-supervised learning to leverage unlabeled data within a single unified deep learning framework. …”
  20. 300