Výsledky vyhledávání - "Brijesh Verma"

Akademický článek

Explainable Image Recognition With Graph-Based Feature Extraction

Autor: Basim Azam, Deepthi P. Kuttichira, Brijesh Verma, Ashfaqur Rahman, Lipo Wang

Publikováno v: IEEE Access, Vol 12, Pp 150325-150333 (2024)

Deep learning models have proven remarkably adept at extracting salient features from raw data, driving state-of-the-art performance across many domains. However, these models suffer from a lack of interpretability; they function as black boxes, obsc

Externí odkaz: https://doaj.org/article/cf1539c54079495ca63c6f3ba85d8e76

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Akademický článek

Road Severity Distance Calculation Technique Using Deep Learning Predictions in 3-D Space

Autor: Asanka G. Perera, Brijesh Verma

Publikováno v: IEEE Access, Vol 10, Pp 68000-68008 (2022)

Some roadside objects pose a significant danger to pedestrians and vehicles when they are too close to the road. A few examples are trees, poles and fences. Their proximity to the road can change over time due to natural conditions or human activitie

Externí odkaz: https://doaj.org/article/155486f17ddb465cb5ea6eb99644d1cc

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Akademický článek

Optimization of Fully Convolutional Network for Road Safety Attribute Detection

Autor: Pubudu Sanjeewani, Brijesh Verma

Publikováno v: IEEE Access, Vol 9, Pp 120525-120536 (2021)

Even though, deep learning techniques demonstrate an outstanding performance in various applications, success of deep learning techniques depends upon appropriately setting their parameters in achieving most accurate results. Therefore, in this paper

Externí odkaz: https://doaj.org/article/44976daea19343189017302ecd571cd1

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Akademický článek

A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers

Autor: Muhammad Zohaib Jan, Brijesh Verma

Publikováno v: IEEE Access, Vol 7, Pp 156360-156373 (2019)

Accuracy and diversity are considered to be the two deriving factors when it comes to generating an ensemble classifier. Focusing only on accuracy causes the ensemble classifier to suffer from “diminishing returns” and the ensemble accuracy tends

Externí odkaz: https://doaj.org/article/49b6c550735f47be9f32210e5cc90c83

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Akademický článek

Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network

Autor: Ali Haidar, Brijesh Verma

Publikováno v: IEEE Access, Vol 6, Pp 69053-69063 (2018)

Rainfall prediction targets the determination of rainfall conditions over a specific location. It is considered vital for the agricultural industry and other industries. In this paper, we propose a new forecasting method that uses a deep convolutiona

Externí odkaz: https://doaj.org/article/864d18f695914fdba1178fb8b58561ae

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