Proceedings of the International Conference on Information Systems Design And Intelligent Applications (ICISDA 2026)

International Conference on Information Systems Design And Intelligent Applications (ICISDA 2026)

📍Cebu City, Philippines🗓️ 24-25 July 2026
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14 articles
Proceedings Article

Peer-Review Statements

Preenon Bagchi, T. Senthil Kumaran, G. Dhanalakshmi, R. Somashekhar, Kirthi Kakade
All of the articles in this proceedings volume have been presented at the ICISDA-2026 during August 24-25, 2026 in jointly from Patan, Gujarat, India. These articles have been peer reviewed by the members of the Sarvasumana Association, Vasishth Genomics Research Lab Pvt Ltd and ACS College of Engineering...
Proceedings Article

Autonomous Multi-Model Vision System for Site-Specific Weed Detection and Selective Spraying in Smart Agriculture

Benchmarking YOLOv5 and MobileNet-SSD for Field-Deployable Crop-Weed Discrimination

Sana I. Shaikh, Mayur Jakhete
The impact of weed infestation is a serious threat to global food security. Weeds can reduce crop yield by as much as 43%. Mechanical, manual, and chemical methods have been widely used to control weeds. However, the rising costs of labor, the development of herbicide resistance in weeds, and restrictions...
Proceedings Article

Callus Culture in Catharanthus roseus (L.) G. Don: A Survey of Induction Strategies, Growth Optimization, and Biotechnological Applications

Kavita Yadav, Anjum Bano, Raghunandan Nathawat, Preenon Bagchi
Catharanthus roseus (L.) G. Don owes its place among medicinally important plants to a chemical repertoire of more than 200 bioactive compounds, among them the terpenoid indole alkaloids vincristine and vinblastine, both still central to cancer chemotherapy regimens decades after their discovery. Because...
Proceedings Article

Comparative In Silico Profiling of Anthocyanin Biosynthetic Enzymes in Oryza Species: Evolutionary Conservation versus Functional Diversification

R. Shravani, B. Swathi, G. Dhanalakshmi
Anthocyanins, a class of flavonoid pigments, underlie plant coloration, environmental stress resilience, and dietary value. Whether the enzymes governing anthocyanin formation are equally constrained across cultivated rice and its wild relatives, or diverge unevenly along the pathway, remains poorly...
Proceedings Article

Citrullus colocynthis (L.) Schrad. And Punica granatum L.: A Review of Phytochemistry, Toxicity, Mitigation Strategies, and Prospects for a Standardized Multi-Fruit Functional Beverage for Diabetes and Cancer Support

Suyash Meena, Khushi Vyas, Manasvi Sharma, Preenon Bagchi
Citrullus colocynthis (L.) Schrad., known as bitter apple, Indrayan, or Gaduma, is a desert cucurbit long used in traditional medicine and increasingly studied for its antidiabetic and anticancer bioactivity. Its principal active constituents, the cucurbitacins, are also responsible for a well-documented...
Proceedings Article

Cryptanalysis of Bitwise Hill Cryptosystem–A Chosen Plaintext Attack

Rampaka Manojkumar, M. Satish Kumar, Prudhvi Raju Ganasala, Sandi Sridhar Reddy, Macha Pooja, Ravi Shankar Nanduri
This paper cryptanalyzes a block cipher proposed by Ahmed Desoky et al., which essentially is a variant of the classical Hill Cipher. The researchers have modified the cipher wherein, plaintext is taken in the form of rectangular matrices of size 3X8 in the illustration of the cipher. The claim of the...
Proceedings Article

Computational Evaluation of the Anti-Obesity Potential of Phytochemicals Isolated from Kodo Millets Using Molecular Docking

G. T. Aishwarya, B. Nidhi Shree, N. Sneha, G. Dhanalakshmi
Kodo millet (Paspalum scrobiculatum L.) is a rich source of bioactive phytochemicals with potential anti-obesity and antihypercholesterolemic properties. LC–MS/MS analysis identified major phenolic acids and flavonoids, including hydroxybenzoic acid, ferulic acid, luteolin, apigenin, quercetin, and glycosylated...
Proceedings Article

Detection of Fraudulent Degree Certificates using Histogram Features and AI Techniques

M. Sarala, B. L. Muralidhara, R. Suresh
Artificial Intelligence (AI) techniques support detecting fake regions in high-dimensional datasets such as images and videos through fake detection methods. The scope of educational credential forgery is required for authenticating it for admission, and recruitment. In this study, we detected forged...
Proceedings Article

BioSpectrum: A Human-in-the-Loop Framework Combining Convolutional Neural Networks and Conversational AI for Accessible Medical Image Triage

Suyash Meena, Preenon Bagchi
Access to specialist medical diagnosis remains highly unequal worldwide: the World Health Organization projects a global shortfall of roughly 11 million health workers by 2030, concentrated overwhelmingly in low- and middle-income regions [1]. Convolutional neural networks (CNNs) have repeatedly matched...
Proceedings Article

Towards Generalizable Diabetic Retinopathy Grading: A Multi-Dataset Cross-Validation Study Using Hybrid Deep Learning Across APTOS, IDRiD, Messidor, and EyePACS

Dhumal Surekha Vitthalrao, Mayur Jakhete
A persistent and largely unacknowledged weakness in deep learning-based diabetic retinopathy (DR) grading is the near-universal practice of training and evaluating models on a single benchmark dataset. This creates a dangerous illusion of clinical readiness: a model achieving 99% accuracy on EyePACS...
Proceedings Article

Identification of Single Nucleotide Polymorphisms Associated with Fruit Sweetness in Dragon Fruit (Hylocereus spp.): An Integrated Bioinformatics and Multi-Omics Analysis

Vedaanshi Verma, Preenon Bagchi
Dragon fruit (Hylocereus spp.) has grown into a tropical crop of real commercial importance, valued for its nutrition, antioxidant content, and expanding market demand worldwide. Sweetness is arguably the trait consumers notice first, and it isn’t controlled by a single gene but by an interlinked set...
Proceedings Article

Green Synthesis of Element-Doped Carbon Quantum Dots: Properties Tuning for Advanced Applications

Vishakha H. Solanki, Kokila A. Parmar, Krinal Shrivastav
Due to their unique optical properties, tunable surface chemistry, excellent biocompatibility and low toxicity, CQDs have emerged as a versatile class of zero-dimensional nanomaterials. Recently, the integration of green synthesis approaches with elemental doping strategies has created new research avenues...
Proceedings Article

Modern Approaches to Synthesis of Organic Materials: Green Chemistry, Recent Developments and Future Perspectives: Review Article

Krinal K. Shrivastav, Vishakha H. Solanki, Chirag G. Makwana
In modern organic syntheses, a paradigm shift is taking place from the development of yield-oriented methodologies to process designs that, concurrently, consider resource efficiency, safety, energy consumption, waste avoidance and life cycle implications. The transition is driven by the conceptual principles...
Proceedings Article

TKS-NGSF: Traditional Knowledge System-Enhanced Neural-Guided Strategy Fusion for Blockchain-Enabled Searchable Encryption in Ayurveda-Informed IIoT Healthcare

Patel Kalpeshkumar Laxmanbhai, Ruchika Dungarani, HardikKumar Bakorbhai Prajapati, Patel Maulikkumar Nareshbhai, Patel Dharmikkumar Himmatbhai
Indian Traditional Knowledge Systems (TKS), especially Ayurveda, create a practical path toward culturally grounded and individualized care when linked with contemporary digital-health platforms. Placing Ayurvedic material online, however, raises acute confidentiality, safety, and operational issues...