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27 articles for “random noise”
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Schmitt-Trigger Based 12T SRAM Cell with Enhanced Stability
Abstract: In this work, we present a single-ended Schmitt-trigger (ST) based 12T static random access memory (SRAM) cell. The proposed cell employs cross-point data aware write structure, and thus supports bit interleaving architecture to mitigate soft errors. The proposed cell does not suffer from read disturbance as bit line is completely isolated from bit storage node. Simulation is done on 180 nm CMOS technology on Cadence. Read static noise margin (RSNM) …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 5–10 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Evaluations with RZ/NRZ Optical-CDMA Link
Abstract: AbstractThis article presents the proposed novel design for hierarchical asynchronous optical code-division multiple-access scheme; performance was investigated for numerous key parameters. With single active user, the RZ_ON_OFF ramp OCDMA scheme performance is better than other schemes over shorter reach; NRZ_OCDMA scheme is better for longer reach, depicted BER is in the range of 10-100 to 10-42 with three users and 10-28 to 10-12 with 32 active users over the randomly …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 2, 2017 · pp. 12–40 Read article
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Design and Implementation of Array for Scaling Power and Area in 4t SRAM Cell
Abstract: In this article in order to reduce the power and area of the Static Random-Access Memory (SRAM) array while maintaining the competitive performance. By using the CMOS technology, the design structure is made to for desired configuration of SRAM array by utilizing the SRAM cell and six-transistor (6T), In order to reduce the number of switches for enhancing performance working with the deep submicron of values 130nm, 90nm and 65nm …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 1, 2022 · pp. 29–33 Read article