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Most Cited

  • Proceeding Paper
  • Open Access
107 Citations
27,272 Views
16 Pages

Metaheuristic Algorithms for Optimization: A Brief Review

  • Vinita Tomar,
  • Mamta Bansal and
  • Pooja Singh

In the area of optimization, metaheuristic algorithms have attracted a lot of interest. For many centuries, human beings have utilized metaheuristic algorithms as a problem-solving approach. The application of these methods to combinatorial optimizat...

  • Proceeding Paper
  • Open Access
45 Citations
7,928 Views
12 Pages

Stability of Metal–Organic Frameworks: Recent Advances and Future Trends

  • Lance Phillip L. Mosca,
  • Andrew B. Gapan,
  • Rica Angela Angeles and
  • Edgar Clyde R. Lopez

15 November 2023

In recent years, metal–organic frameworks (MOFs) have gained a lot of attention from researchers because of their potential applications in gas separation, storage, catalysis, as well as sensing. In spite of this, further development for the ac...

  • Proceeding Paper
  • Open Access
42 Citations
3,999 Views
9 Pages

The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies

  • Suchitra Deviprasad,
  • N. Madhumithaa,
  • I. Walter Vikas,
  • Archana Yadav and
  • Geetha Manoharan

18 December 2023

Recently, machine learning-based task automation framework have been gaining attention in human resource management of Multi-National Companies (MNCs). Task automation framework helps MNCs to automate repetitive HR tasks, analyse data quickly and acc...

  • Proceeding Paper
  • Open Access
39 Citations
10,803 Views
8 Pages

Brain Tumor Detection and Classification Using Transfer Learning Models

  • Vinod Kumar Dhakshnamurthy,
  • Murali Govindan,
  • Kannan Sreerangan,
  • Manikanda Devarajan Nagarajan and
  • Abhijith Thomas

28 February 2024

Diagnosing brain tumors is a time-consuming process requiring radiologist expertise. With the growing patient population and increased data volume, conventional procedures have become expensive and ineffective. Scholars have explored algorithms for d...

  • Proceeding Paper
  • Open Access
37 Citations
20,290 Views
9 Pages

9 February 2024

Recent advancements in deep learning for healthcare and computer-aided laboratory services have sparked a renewed interest in making medical data more accessible. Elevating the quality of healthcare services and delivering improved patient care neces...

  • Proceeding Paper
  • Open Access
36 Citations
7,577 Views
8 Pages

20 December 2023

Graphene oxide (GO) and reduced graphene oxide (rGO) are well known for their exceptional characteristics in a variety of applications. Reduced graphene oxide differs from graphene oxide in terms of morphological aspects, quality, functionalized grou...

  • Proceeding Paper
  • Open Access
34 Citations
3,564 Views
9 Pages

Advanced Deep Learning Models for Corn Leaf Disease Classification: A Field Study in Bangladesh

  • Sachi Nandan Mohanty,
  • Hritwik Ghosh,
  • Irfan Sadiq Rahat and
  • Chirra Venkata Rami Reddy

19 December 2023

Agriculture is pivotal in Bangladesh, with maize being a central crop. However, leaf diseases significantly threaten its productivity. This study introduces deep learning models for enhanced disease detection in maize. We developed an unique datasets...

  • Proceeding Paper
  • Open Access
31 Citations
3,137 Views
10 Pages

Precipitation Time Series Analysis and Forecasting for Italian Regions

  • Ebrahim Ghaderpour,
  • Hanieh Dadkhah,
  • Hamed Dabiri,
  • Francesca Bozzano,
  • Gabriele Scarascia Mugnozza and
  • Paolo Mazzanti

In Italy, most of the destructive landslides are triggered by rainfall, particularly in central Italy. Therefore, effective monitoring of rainfall is crucial in hazard management and ecosystem assessment. Global precipitation measurement (GPM) is the...

  • Proceeding Paper
  • Open Access
27 Citations
1,688 Views
7 Pages

Sales-Based Models for Resource Management and Scheduling in Artificial Intelligence Systems

  • Deepak Dudeja,
  • Shweta Mayor Sabharwal,
  • Yatish Ganganwar,
  • Manoj Singhal,
  • Nitin Goyal and
  • Ashish Tiwari

13 December 2023

Recent trends have shown a greatly increasing number of users in the digital world, so there is a need for a large number of resources. To handle these resources, there is the need to manage and schedule in an optimized manner using artificial intell...

  • Proceeding Paper
  • Open Access
26 Citations
4,233 Views
7 Pages

Sustainability Assessment of Higher Education Institutions: A Systematic Literature Review

  • Alok Bihari Singh,
  • Himanshu Kumar Meena,
  • Chandni Khandelwal and
  • Govind Sharan Dangayach

Higher education institutions (HEIs) are crucial social organizations that foster innovation, disseminate knowledge, and train future leaders in various fields. Higher education institutions are essential for implementing the Education for Sustainabl...

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Eng. Proc. - ISSN 2673-4591Creative Common CC BY license