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Computer Sciences & Mathematics Forum, Volume 12, Issue 1

2025 CISCom 2025 - 16 articles

First International Conference on Computational Intelligence and Soft Computing (CISCom 2025)

Melaka, Malaysia | 26–27 November 2025

Volume Editors:
Sameena Pathan, Manipal Academy of Higher Education, Manipal, India
Saad Hassan Kiani, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia

Cover Story: The International Conference on Computational Intelligence and Soft Computing (CISCom 2025) was held in Melaka, Malaysia, on 26–27 November 2025. CISCom 2025 served as an international platform focused on advances in computational intelligence, soft computing, cybersecurity, and communication technologies. The conference promoted interdisciplinary collaboration, encouraged young researchers, and emphasized practical applications, innovation, and secure intelligent systems. It aimed to bridge theory and practice while fostering global cooperation to address emerging challenges in AI-driven and data-centric technologies. CISCom 2025 invited high-quality original research across theory, methods, and applications.
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Articles (16)

  • Proceeding Paper
  • Open Access
219 Views
11 Pages

Self-Supervised Learning for Complex Pattern Interpretation in Vitiligo Skin Imaging

  • Priyanka Pawar,
  • Anagha Kulkarni,
  • Bhavana Pansare,
  • Prajakta Pawar,
  • Prachi Bahekar and
  • Madhavi Kapre

Depigmented patches are the result of vitiligo, a skin condition brought on by the slow breakdown of melanocytes. High variability, complex lesion morphology, and subtle differences between affected and unaffected skin make accurate diagnosis difficu...

  • Proceeding Paper
  • Open Access
506 Views
17 Pages

The rapid expansion of digital payment channels has significantly widened the financial transaction attack surface, exposing ecosystems to sophisticated, polymorphic threat vectors. This study introduces an AI-powered cybersecurity mesh that unites G...

  • Proceeding Paper
  • Open Access
189 Views
9 Pages

For psoriatic lesions, automatic segmentation is crucial to perform objective assessment, monitoring, and medication planning in dermatology. This study proposes a Multiscale Convolutional Neural Network (MSCNN) framework for precise segmentation of...

  • Proceeding Paper
  • Open Access
1,398 Views
10 Pages

Machine Learning Framework for Algorithmic Trading

  • Krishnamurthy Nayak,
  • Supreetha Balavalikar Shivaram and
  • Sumukha K. Nayak

Present financial markets are characterized by great volatility and nonlinear dynamics since they are driven by both quantitative forces and qualitative mood. Traditional trading practices cannot capture such nuance. This study proposes an automated...

  • Proceeding Paper
  • Open Access
175 Views
9 Pages

To demonstrate the interrelation of fashion elements for design forecasting, the research examines classification and sentiment analysis methodologies. The study combines survey data with information from social media and e-commerce sites to find imp...

  • Proceeding Paper
  • Open Access
244 Views
9 Pages

Smart and Sustainable Infrastructure System for Climate Action

  • Bhanu Prakash,
  • Jayanth Sidlaghatta Muralidhar,
  • Mohammed Zaman Pasha,
  • Vijay Kumar Harapanahalli Kulkarni,
  • Shridhar B. Devamane and
  • N. Rana Pratap Reddy

Flooding in Bengaluru areas such as Kodigehalli, Hebbal, and Nagavara has led to severe disruptions, including traffic congestion, infrastructure damage, and health risks. To address this issue, we have proposed a smart flood alert and communication...

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Comput. Sci. Math. Forum - ISSN 2813-0324