IJRASHT: Vol 1, Issue 2, December 2024

					View IJRASHT: Vol 1, Issue 2, December 2024
Published: 25-12-2024

Articles

  • Global Impact of COVID-19: Pandemic Preparedness, Healthcare Response, and Lessons Learned

    Vibhuti Tyagi, Sapna Upadhyay, Gauri Sharma
    32-39
    DOI: https://doi.org/10.71143/7ab0dk25
  • Sorting Machine for Fruits and Vegetables for Agricultural Advancements using IoT

    Ashutosh Mishra, Sukhwinder Kaur Bhatia, Reeta Mishra
    40-48
    DOI: https://doi.org/10.71143/6m3z1250
  • Role of Artificial Intelligence in Diagnostic Medicine

    Rashi Sahay, Ajeet Singh, Muskan Aggarwal
    49-53
    DOI: https://doi.org/10.71143/6vhwz717
  • Role of Machine Learning in Anticipating Adverse Drug Reactions: Implications for Patient Safety in Pharmacy Practice

    Ajeet Singh, Atul Pratap Singh, Neha Verma
    54-59
    DOI: https://doi.org/10.71143/nv3qs952
  • Effect of Temperature on the Percentage of Germination of Mung Beans

    Devendra Pratap Singh
    60-62
    DOI: https://doi.org/10.71143/s7919455
  • Impact of Digital Transformation on Employee Engagement in Indian IT Companies

    Isha Sethi, Ravindra Kumar, Satendra Kumar
    63-66
    DOI: https://doi.org/10.71143/5b0rpd02
  • Sustainability in Solid Waste Management to Reduce Environmental Impact and Improve Resource Efficiency

    Dilip Mishra
    67-75
    DOI: https://doi.org/10.71143/52raj174
  • Securing Concrete from Chemical Degradation caused by Chloride and Sulfuric Acid through Epoxy Coating

    Mohammad Aslam, Dilip Mishra
    76-85
    DOI: https://doi.org/10.71143/w1db7921
  • Optimizing Face Recognition with PCA and KNN: A Machine Learning Approach

    Ajeet Singh, Atul Pratap Singh, Minal Rajendra Wadyalkar
    86-93
    DOI: https://doi.org/10.71143/wf3sr109
  • Optimized Power Distribution using Machine Learning for Load Forecasting, Fault Detection, and Voltage Regulation

    Neeraj Kumar
    94-102
    DOI: https://doi.org/10.71143/0m5nm797
  • Design, Implementation, and Analysis for Reducing Energy Losses in Solar Inverters through the Use of SiC MOSFETs

    Neeraj Kumar
    103-109
    DOI: https://doi.org/10.71143/75h70y35
  • Optimized Air Quality Index and Meteorological Predictions with Machine Learning and IoT

    Dr. R. Venkateswaran, Dr. Suresh Palarimath, Mr. Rogelio Gutierrez
    110-120
    DOI: https://doi.org/10.71143/grew9j11
  • Low-Power Front-End VLSI Design Techniques for Energy-Efficient System-on-Chip Architectures

    Kavyashree Raveendranath, Swamy TN
    121-126
    DOI: https://doi.org/10.71143/8m6djn93
  • Sustainable Polymer-Based Catalysts for Enhanced Biofuel Production from Agricultural Waste

    Devendra Pratap Singh
    127-133
    DOI: https://doi.org/10.71143/rpt74993
  • Hybrid Biofuel Cells Using Conductive Polymers for Efficient Renewable Energy Generation

    Devendra Pratap Singh
    134-141
    DOI: https://doi.org/10.71143/gf8ben77
  • AI Watermark Robustness: Evaluating Methods to Identify AI-Generated Content After Editing or Compression

    Rohit Kumar, Swarna Verma, Deepanshu Mittal, Armaan Singh
    142-147
    DOI: https://doi.org/10.71143/qrzzwv89
  • Causal Machine Learning: Bridging Correlation and Causation in Artificial Intelligence

    Palak, Riya, Asmi, Vansh, Richa Chaudhary
    148-159
    DOI: https://doi.org/10.71143/pfsmx524
  • AI for Scientific Discovery: A Survey of Methods, Applications, and Open Challenges

    Karan, Anjali, Ashish, Manish, Nitika
    160-171
    DOI: https://doi.org/10.71143/0xw1yj29
  • Foundation Models Beyond Language: A Survey of Vision, Biology, Robotics, and Multimodal Systems

    Amit, Anshu, Riya, Shruti, Taruna
    172-183
    DOI: https://doi.org/10.71143/yrb0wp14
  • Machine Learning for Earthquake Prediction: Techniques for Seismic Forecasting and Disaster Preparedness

    Priyam, Payal Mor, Gaurav Tyagi, Kirti, Rakhi
    184-194
    DOI: https://doi.org/10.71143/r4xwvm77
  • AI-Driven Protein Structure Prediction: A Review of Deep Learning Methods for Protein Folding and Drug Design

    Hardik, Sahil, Simran, Yash, Neha Sharma
    195-205
    DOI: https://doi.org/10.71143/y3ptrr62
  • Machine Learning for Biodiversity Conservation: Species Identification, Habitat Monitoring, and Wildlife Protection

    Kritika Jain, Mansi, Dhairya, Bhumika, Deepak Singla
    206-216
    DOI: https://doi.org/10.71143/rve9dg86
  • AI in Ocean Monitoring: Deep Learning for Marine Pollution, Fisheries, and Underwater Robotics

    Anubhav, Parth Kundu, Asmi, Simran, Devendra Prasad
    217-226
    DOI: https://doi.org/10.71143/2g6vpy69