:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Srinivas, Sakhinana Sagar, Sannidhi, Geethan, Gangasani, Sreeja, Ravuru, Chidaksh, Runkana, Venkataramana
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2408.13621
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
by: Sannidhi, Geethan, et al.
Published: (2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)

Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

EMCNet : Graph-Nets for Electron Micrographs Classification
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)

Commentary Generation for Soccer Highlights
by: Ravuru, Chidaksh
Published: (2025)

Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)

Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Multi-Knowledge Fusion Network for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
by: Sarkar, Rajat, et al.
Published: (2024)

Can LLMs Understand What We Cannot Say? Measuring Multilevel Alignment Through Abortion Stigma Across Cognitive, Interpersonal, and Structural Levels
by: Sharma, Anika, et al.
Published: (2025)

Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
by: Jain, Riddhi, et al.
Published: (2025)

Quantification and Classification of Carbon Nanotubes in Electron Micrographs using Vision Foundation Models
by: Pradeep, Sanjay, et al.
Published: (2026)

Multi Objective Design Optimization of Non Pneumatic Passenger Car Tires Using Finite Element Modeling, Machine Learning, and Particle swarm Optimization and Bayesian Optimization Algorithms
by: Dhrangdhariya, Priyankkumar, et al.
Published: (2026)

Two-level Solar Irradiance Clustering with Season Identification: A Comparative Analysis
by: Agrawal, Roshni, et al.
Published: (2025)

An Update on Micrographics.
by: Spaulding, Carl M.
Published: (1978)

Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity
by: R, Sujay, et al.
Published: (2024)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
by: Caffagni, Davide, et al.
Published: (2025)

Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
by: Singh, Sreeja, et al.
Published: (2025)

UniEM-3M: A Universal Electron Micrograph Dataset for Microstructural Segmentation and Generation
by: wang, Nan, et al.
Published: (2025)

Micrographics 1974
by: Spaulding, Carl M., et al.
Published: (1975)

Microcontroller‐Driven Photonic Toolkit for Quantum Computing: A Hardware‐in‐the‐Loop Approach to Engineering Pedagogy
by: R. R. Sreeja, et al.
Published: (2026)