openalexOpen MIND2026-06-14

Blockchain-Edge Security Framework for Industrial IoT Smart Spaces: Chaincode, Benchmark Harness, and Experimental Data

Martin Parmar, Het Khatusuriya, Dharmendra Chauhan, Mrugendra Rahevar, Bimal Patel, Hiren Mewada

Source code and raw experimental data supporting the paper "A Hardware-Validated Permissioned Blockchain-Edge Security Framework for Industrial IoT Smart Spaces" (submitted to IEEE Transactions on Industrial Informatics, 2026). Includes: (1) the Hyperledger Fabric v2.4.9 chaincode implementing DID-based RegisterDevice(), AuthorizeUser(), and LogData() smart-contract functions; (2) the closed-loop and open-loop benchmark harness; (3) Tier 1 ESP32 device firmware and Tier 2 Raspberry Pi gateway pipeline reference implementations; and (4) raw CSV data reproducing all throughput, latency, scalability, ablation, and attack-validation results (Tables VII-XII, Figures 6-8).

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Retrieval Augmented Generation Using Multimodal Large Language Models for Real-Time Knowledge-Grounded Question Answering

Dr. K. Sujatha

The exponential growth of heterogeneous digital information across structured and unstructured repositories presents a critical challenge for large language models (LLMs): the inability to access and reason over dynamically evolving knowledge without costly model retraining. This…

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openalexOpen MIND2026-07-25

RivanDioPerdinan/Prediction-Microemulsion-Phase-Classes-Formulation-Variables-Using-ML-And-FI: Microemulsion Phase-Class Prediction Workflow v2.0.0

Dio

Final reproducible workflow for the manuscript "Prediction of Microemulsion Phase Classes from Formulation Variables Using Machine Learning and Feature Importance". This release contains the raw dataset, cleaned dataset, data dictionary, Python workflow, package requirements, gen…

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openalexOpen MIND2026-07-25

HomoeoGWAS: subgenome-aware scalable LMM with DL prior conditional lift for allopolyploid GWAS

Shipeng Yang

HomoeoGWAS is a GWAS framework for allopolyploid crops (wheat AABBDD, cotton AADD, rapeseed AACC, oat AACCDD, strawberry octoploid). It combines subgenome-partitioned random-effect LMMs with per-logical-chromosome LOCO, an optional scope-conditional homoeolog Hadamard kernel, and…

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openalexOpen MIND2026-07-24

Creepybits/software-defined-stochastic-inference-engine: SDSIE v1.0.1 - Initial Specification & Blueprint

Creepybits

Software-Defined Stochastic Inference Engine (SDSIE) Initial public release and technical research specification for the Software-Defined Stochastic Inference Engine (SDSIE). Overview This specification outlines an adaptive virtual runtime architecture designed to execute generat…

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openalexOpen MIND2026-07-23

Utilizing Concept Ontologies for Designing Neural Network-Based Classifiers

Kamil Szwed

Deep neural networks have achieved substantial success in image, text, and signal analysis, but their advantage is less consistent for heterogeneous tabular data, where tree-based ensemble methods often remain strong baselines. This study proposes CANON (Cross-Attention Neuro-sym…

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openalexOpen MIND2026-07-23

Friction-Guided Inference: Calibrating Correction Strategies and Abstention from Logprob Signals

Tomas Pødenphant Lund

Large language models frequently possess the knowledge needed to answer a question correctly yet commit to the wrong response. This paper presents friction-guided inference, a calibrated inference-time pipeline that uses the model's own logprob distribution — available at zero co…

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Blockchain-Edge Security Framework for Industrial IoT Smart Spaces: Chaincode, Benchmark Harness, and Experimental Data

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Retrieval Augmented Generation Using Multimodal Large Language Models for Real-Time Knowledge-Grounded Question Answering

RivanDioPerdinan/Prediction-Microemulsion-Phase-Classes-Formulation-Variables-Using-ML-And-FI: Microemulsion Phase-Class Prediction Workflow v2.0.0

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