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Big Data and Cognitive Computing, Volume 7, Issue 2

June 2023 - 64 articles

Cover Story: The authors propose a proactive approach to mitigating malware threats using natural language processing (NLP) techniques. The paper introduces a model called MalBERTv2, which has been trained on publicly available datasets and focuses on the app source code to extract relevant information. The model utilizes pre-tokenization feature generation and a classifier with bidirectional encoder representations from transformers (BERT) to detect malware threats. The model performs well, with a weighted F1 score ranging from 82% to 99% using different datasets. The results demonstrate the effectiveness of the NLP-based approach in proactively detecting malware threats. View this paper
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Articles (64)

  • Article
  • Open Access
13 Citations
3,612 Views
15 Pages

The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking vi...

  • Article
  • Open Access
2 Citations
3,003 Views
24 Pages

Efficient Method for Continuous IoT Data Stream Indexing in the Fog-Cloud Computing Level

  • Karima Khettabi,
  • Zineddine Kouahla,
  • Brahim Farou,
  • Hamid Seridi and
  • Mohamed Amine Ferrag

Internet of Things (IoT) systems include many smart devices that continuously generate massive spatio-temporal data, which can be difficult to process. These continuous data streams need to be stored smartly so that query searches are efficient. In t...

  • Article
  • Open Access
19 Citations
4,434 Views
18 Pages

Transformational Entrepreneurship and Digital Platforms: A Combination of ISM-MICMAC and Unsupervised Machine Learning Algorithms

  • Pejman Ebrahimi,
  • Hakimeh Dustmohammadloo,
  • Hosna Kabiri,
  • Parisa Bouzari and
  • Mária Fekete-Farkas

For many years, entrepreneurs were considered the change agents of their societies. They use their initiative and innovative minds to solve problems and create value. In the aftermath of the digital transformation era, a new group of entrepreneurs ha...

  • Article
  • Open Access
4 Citations
6,638 Views
27 Pages

Football (also known as Soccer), boasts a staggering fan base of 3.5 billion individuals spread across 200 countries, making it the world’s most beloved sport. The widespread adoption of advanced technology in sports has become increasingly pro...

  • Communication
  • Open Access
37 Citations
8,465 Views
21 Pages

Mining and analysis of the big data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data science, computer science, and their related areas, as can be seen fr...

  • Article
  • Open Access
11 Citations
3,677 Views
21 Pages

Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model

  • Neeraj Tomar,
  • Geeta Rani,
  • Vijaypal Singh Dhaka,
  • Praveen K. Surolia,
  • Kalpit Gupta,
  • Eugenio Vocaturo and
  • Ester Zumpano

The exponentially growing energy requirements and, in turn, extensive depletion of non-restorable sources of energy are a major cause of concern. Restorable energy sources such as solar cells can be used as an alternative. However, their low efficien...

  • Review
  • Open Access
72 Citations
19,921 Views
25 Pages

Exploring Machine Learning Models for Soil Nutrient Properties Prediction: A Systematic Review

  • Olusegun Folorunso,
  • Oluwafolake Ojo,
  • Mutiu Busari,
  • Muftau Adebayo,
  • Adejumobi Joshua,
  • Daniel Folorunso,
  • Charles Okechukwu Ugwunna,
  • Olufemi Olabanjo and
  • Olusola Olabanjo

Agriculture is essential to a flourishing economy. Although soil is essential for sustainable food production, its quality can decline as cultivation becomes more intensive and demand increases. The importance of healthy soil cannot be overstated, as...

  • Article
  • Open Access
4 Citations
2,840 Views
25 Pages

Expanding the Horizons of Situated Visualization: The Extended SV Model

  • Nuno Cid Martins,
  • Bernardo Marques,
  • Paulo Dias and
  • Beatriz Sousa Santos

To fully leverage the benefits of augmented and mixed reality (AR/MR) in supporting users, it is crucial to establish a consistent and well-defined situated visualization (SV) model. SV encompasses visualizations that adapt based on context, consider...

  • Article
  • Open Access
4 Citations
2,750 Views
16 Pages

One of the strategies adopted to compress CNN models for image classification tasks is pruning, where some elements, channels or filters of the network are discarded. Typically, pruning methods present results in terms of model performance before and...

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Big Data Cogn. Comput. - ISSN 2504-2289