Sidike Paheding

Orcid: 0000-0003-4712-9672

According to our database1, Sidike Paheding authored at least 48 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments.
CoRR, 2023

The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study.
CoRR, 2023

Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study.
CoRR, 2023

A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset.
IEEE Access, 2023

Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data.
IEEE Trans. Geosci. Remote. Sens., 2022

Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges.
Expert Syst. Appl., 2022

Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning.
IEEE Access, 2022

Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

A Secure Software Engineering Design Framework for Educational Purpose.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Binary chemical reaction optimization based feature selection techniques for machine learning classification problems.
Expert Syst. Appl., 2021

Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste.
Comput. Chem. Eng., 2021

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications.
IEEE Access, 2021

Trends in Deep Learning for Medical Hyperspectral Image Analysis.
IEEE Access, 2021

2020
Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology.
Remote. Sens., 2020

Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning.
Remote. Sens., 2020

U-Net and its variants for medical image segmentation: theory and applications.
CoRR, 2020

Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR).
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning.
Sensors, 2019

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras.
Remote. Sens., 2019

Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality.
Remote. Sens., 2019

A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture.
Frontiers Big Data, 2019

2018
Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine.
Remote. Sens., 2018

Adaptive Trigonometric Transformation Function With Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery.
IEEE Geosci. Remote. Sens. Lett., 2018

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches.
CoRR, 2018

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.
Comput. Intell. Neurosci., 2018

TERRA-REF Data Processing Infrastructure.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018

2017
A fast single-image super-resolution via directional edge-guided regularized extreme learning regression.
Signal Image Video Process., 2017

State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach.
Neural Process. Lett., 2017

Volumetric Directional Pattern for Spatial Feature Extraction in Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2017

Handwritten Bangla Digit Recognition Using Deep Learning.
CoRR, 2017

2016
Multiclass Object Detection With Single Query in Hyperspectral Imagery Using Class-Associative Spectral Fringe-Adjusted Joint Transform Correlation.
IEEE Trans. Geosci. Remote. Sens., 2016

Classification of hyperspectral image using multiscale spatial texture features.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Automatic building change detection through adaptive local textural features and sequential background removal.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Real Time Automated Machinery Threat Detection and Identification System for Pipeline Infrastructure Protection.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

Non-regularized State Preserving Extreme Learning Machine for Natural Scene Classification.
Proceedings of International Conference on Computer Vision and Image Processing, 2016

Boosted ringlet features for robust object tracking.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Efficient Key Frame Selection Approach for Object Detection in Wide Area Surveillance Applications.
Int. J. Monit. Surveillance Technol. Res., 2015

State Preserving Extreme Learning Machine for face recognition.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Directional ringlet intensity feature transform for tracking.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multiple object detection in hyperspectral imagery using spectral fringe-adjusted joint transform correlator.
Proceedings of the Image Processing: Machine Vision Applications VIII, 2015

Recent progress in wide-area surveillance: protecting our pipeline infrastructure.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2015, 2015

2014
Illumination-invariant pattern recognition using fringe-adjusted joint transform correlator and monogenic signal.
Proceedings of the Image Processing: Machine Vision Applications VII, 2014

Automatic segmentation of carcinoma in radiographs.
Proceedings of the 2014 IEEE Applied Imagery Pattern Recognition Workshop, 2014


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