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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

S. Ramasubbareddy

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Open access Sep 2026

A unified multi-modal latent diffusion framework with modality-dropout training

Introduction Multi-modal conditioning in latent diffusion models—combining text, structural, and spatial guidance signals—substantially improves controllable image synthesis, yet two limitations persist across most existing frameworks. First, conditioning modalities are fused using fixed architectural weights that rema...

S. Remya, Manu J. Pillai, Laveena Herman et al. · 0 citations
#generative ai Open access Sep 2026

An adaptive multi-objective differential evolution algorithm to fine-tune the constructive cost model constants for software effort estimation

The primary goals of software effort and cost estimation are to determine project cost, shorten development time, and provide a reliable prediction. This issue is also classified as a multi-objective optimization problem. A new adaptation-based multi-objective differential evolution algorithm, enhanced with Generativ...

Sunil Kumar Gouda, S. Ramasubbareddy, Kumar Surjeet Chaudhury et al. · 0 citations
Open access Jul 2026

A deep learning perception framework for farm digital twins: weed species classification, semantic segmentation, and gradient-based visual interpretability

The emergence of Farm Digital Twins (Farm-DT) as a transformative paradigm in smart agriculture demands robust, real-time perception modules capable of continuous plant-level monitoring, predictive analytics, and automated decision support. A critical bottleneck in operationalising Farm-DTs is the absence of interpre...

A. Manoj, Aiswarya S. Kumar, S. Remya et al. · 0 citations
Open access Jul 2026

Semantic de-identification of burned-in PHI in DICOM medical images: a deep learning–NLP pipeline validated on clinical and phantom TMM datasets

A semantic de-identification pipeline integrating YOLOv11n-based text detection, domain-optimized EasyOCR, and a hybrid natural language processing (NLP) classification module combining regular expressions, keyword matching, and named entity recognition is proposed, confirming that the pipeline preserves quantitative p...

Remya Sethulekshmi, Manu J. Pillai, Nihal Ahammed et al. · 0 citations

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