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4 hasil untuk "Hashmi, Muhammad Shadab Alam"

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  1. Artikel Jurnal Teks lengkap

    Heart failure survival prediction using novel transfer learning based probabilistic features

    Qadri, Azam Mehmood; Hashmi, Muhammad Shadab Alam; Raza, Ali dkk.

    PeerJ Comput Sci · 2024 · Inggris · PubMed Central

    Heart failure is a complex cardiovascular condition characterized by the heart’s inability to pump blood effectively, leading to a cascade of physiological changes. Predicting survival in heart failure patients is crucial for optimizing patient care and resource allocation. This research aims to…

  2. Artikel Jurnal Teks lengkap

    Dual-modality fusion for mango disease classification using dynamic attention based ensemble of leaf & fruit images

    Mohsin, Muhammad; Hashmi, Muhammad Shadab Alam; Noya, Irene Delgado dkk.

    Sci Rep · 2025 · Inggris · PubMed Central

    Mango is one of the most beloved fruits and plays an indispensable role in the agricultural economies of many tropical countries like Pakistan, India, and other Southeast Asian countries. Similar to other fruits, mango cultivation is also threatened by various diseases, including Anthracnose and…

  3. Artikel Jurnal Teks lengkap

    Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach

    Hashmi, Muhammad Shadab Alam; Ibrahim, Muhammad; Bajwa, Imran Sarwar dkk.

    Sensors (Basel) · 2022 · Inggris · PubMed Central

    The periodic inspection of railroad tracks is very important to find structural and geometrical problems that lead to railway accidents. Currently, in Pakistan, rail tracks are inspected by an acoustic-based manual system that requires a railway engineer as a domain expert to differentiate between…

  4. Artikel Jurnal Teks lengkap

    Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data

    Rustam, Furqan; Ishaq, Abid; Hashmi, Muhammad Shadab Alam dkk.

    Sensors (Basel) · 2023 · Inggris · PubMed Central

    Railway track faults may lead to railway accidents and cause human and financial loss. Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts, misalignment, and cracks leading to accidents. Manual inspection of such defects is time-consuming and prone to errors…