yusuke1997/dblp-id-title huggingface dataset:
On-orbit RSB calibration of SNPP VIIRS using the full illumination profile of solar diffuser
Curved focal plane array for hyperspectral imaging system
Development of in-orbit refocusing mechanism for SpaceEye-1 electro-optical payload
Imaging spectroscopy using embedded diffractive optical arrays
The curious case of the intersensor radiometric comparison of SNPP VIIRS M11 with Aqua MODIS B7
Crosstalk effect and its mitigation in Aqua MODIS middle wave infrared bands
SBAF for cross-calibration of Landsat-8 OLI and Sentinel-2 MSI over North African PICS
Determination of the SNPP VIIRS SDSM screen transmittance from both yaw maneuver and regular on-orbit data
Influence of atmospheric turbulence on the visible infrared imaging radiometer suite (VIIRS) day/night band (DNB) low light calibration with ground based light source
A status update on EUMETSAT programmes and plans
Evaluation of early NOAA-20 VIIRS RSB radiometric performance using intercomparison with Aqua MODIS
JPSS-1 VIIRS solar diffuser witness sample BRF calibration using a table-top goniometer at NASA GSFC
Atmospheric measurement analysis for the Radiometric Calibration Test Site (RadCaTS)
Chasing the TIRS ghosts: calibrating the Landsat 8 thermal bands
Landsat 9 Thermal Infrared Sensor 2 pre-launch characterization: initial imaging and spectral performance results
On the effectiveness of remote monitoring systems
Compact, on-demand broad spectral range (visible to long wave infrared) calibrator (Conference Presentation)
Impact of the angular dependence of the SNPP VIIRS solar diffuser BRDF degradation factor on the radiometric calibration of the reflective solar bands
Correction method of physical temperature variation for airborne double-antenna microwave radiometer
Visible Infrared Imaging Radiometer Suite (VIIRS) and uncertainty in the ocean color calibration methodology
JPSS-1 VIIRS pre-launch radiometric performance
Analysis of JPSS J1 VIIRS polarization sensitivity using the NIST T-SIRCUS
Sentinel 2A: the image quality performances at the beginning of its mission
SNPP VIIRS reflective solar bands on-orbit calibration six-year update: extension and improvements
Solar diffusers in earth observation instruments with an illumination angle of up to 70°: design and verification of performance in BRDF
A linear signal transmission system calibration method of wideband GPR
MODIS solar diffuser degradation at short-wave infrared band wavelengths
Development of 2D deconvolution method to repair blurred MTSAT-1R visible imagery
Change detection for high resolution image based on pyramid mean shift smoothness and morphology
Lidar monitoring of organic matter in the Pearl River estuary (withdrawal notice)
Radiometric calibration of G-LiHT's imaging spectrometer using GLAMR for satellite sensor intercalibration
Earth Observing Systems XXII, SPIE Optical Engineering + Applications, San Diego, California, USA, 6-10 August 2017
Results from CrIS/ATMS obtained using an "AIRS Version-6 like" retrieval algorithm
A land-cover classification method of high-resolution remote sensing imagery based on convolution neural network
Algodones Dunes characterization in support of model parametrization for sensor harmonization (Conference Presentation)
Design of an ultra-portable field transfer radiometer supporting automated vicarious calibration
Bridging the thermal band comparison between LEO-LEO sensors and between GEO-GEO sensors
Assessing OLI stray light and contamination changes with lunar observations
Comparison of the AIRS, IASI, and CrIS 900 cm-1 channel for Dome Concordia
Calibration improvements in the detector-to-detector differences for the MODIS ocean color bands
Early trends on the Clouds and the Earth's Radiant Energy System (CERES) Flight Model 6 (FM6) instrument's performance
Assessment of the Clouds and the Earth's Radiant Energy System (CERES) Flight Model 5 (FM5) instrument performance and stability
VIIRS/J1 polarization narrative
Landsat 9: status and plans
Assessment of MODIS and VIIRS solar diffuser on-orbit degradation
Assessments and applications of Terra and Aqua MODIS on-orbit electronic calibration
Detection and characterization of striping in GOES-16 ABI VNIR/IR bands
Improvement in the cloud mask for Terra MODIS mitigated by electronic crosstalk correction in the 6.7 μm and 8.5 μm channels
RSB calibration of SNPP VIIRS using solar diffuser illuminated by scattered light
Prism spectrometer analysis for field use
An improved proton magnetometer for Earth's magnetic field observation
Requirement sensitivity studies for a future Landsat sensor
Improving ROLO lunar albedo model using PLEIADES-HR satellites extra-terrestrial observations
Spectralon solar diffuser BRDF variation for NPP, JPSS J1 and J2
Radiometric calibration updates to the Landsat collection
Multi-image matching for lunar surface reconstruction from orbital images
Evaluation of the AIRS and CrIS relative radiometric calibration under cloudy conditions
Results from the radiometric validation of Sentinel-3 optical sensors using natural targets
Earth Observing Systems XX, SPIE Optical Engineering + Applications, San Diego, California, USA, 9-13 August 2015
Building vectorization inside a favela utilizing lidar spot elevation
Monitoring the Terra and Aqua MODIS RSB calibration using scattered light from the Nadir-port
Developing an automated global validation site time series system for VIIRS
Improvements in the calibration of the SNPP VIIRS day-night band (Conference Presentation)
Calibration improvements for MODIS and VIIRS SWIR spectral bands
Analysis of S-NPP VIIRS RSB bands detector saturation status and its change with time
Geometric effects in SeaWiFS lunar observations
JPSS-1/NOAA-20 VIIRS early on-orbit geometric performance
Atmospheric correction for JPSS-2 VIIRS response versus scan angle measurements
Front Matter: Volume 9218
Detector level ABI spectral response function: FM4 analysis and comparison for different ABI modules
An exposition on the solar diffuser degradation non-uniformity effect for SNPP VIIRS and Terra/Aqua MODIS
Sentinel 2B: the image quality performances at the beginning of the mission
Suomi NPP VIIRS DNB and RSB M bands detector-to-detector and HAM side calibration differences assessment using a homogenous ground target
The S4 focal plane subsystem
The stars: an absolute radiometric reference for the on-orbit calibration of PLEIADES-HR satellites
Radiometric evaluation of the SNPP VIIRS reflective solar band sensor data records via inter-sensor comparison with Aqua MODIS
MTF analysis using lunar observations for Himawari-8/AHI
Product of the SNPP VIIRS SD screen transmittance and the SD BRDF from both yaw maneuver and regular on-orbit data
Avoiding stair-step artifacts in image registration for GOES-R navigation and registration assessment
An overview of NASA VCST SNPP VIIRS day-night band on-orbit calibration methodology
NOAA-20 VIIRS radiometric band saturation evaluation and comparison with Suomi NPP VIIRS using global probability distribution function method
Landsat 8 OLI radiometric calibration performance after three years (Conference Presentation)
Operational correction and validation of the VIIRS TEB longwave infrared band calibration bias during blackbody temperature changes
BRDF characterization of solar diffuser for JPSS J1 using PASCAL
Atmospheric correction for Landsat 8 over case 2 waters
Radiometric characterization of Landsat Collection 1 products
Spectral testing of the Landsat-9 OLI-2 instrument using the Goddard Laser Absolute Measurement of Radiance (GLAMR)
Simple techniques for modeling wavefront error in imaging systems
Landsat-8 TIRS thermal radiometric calibration status
Examination of the angular dependence of the SNPP VIIRS solar diffuser BRDF degradation factor
Landsat 8 TIRS calibration with external sensors
Advanced topographic laser altimeter system (ATLAS) receiver telescope assembly (RTA) and transmitter alignment and test
Will the sun shine? - An accessible dataset for teaching machine learning and deep learning
Putting the "Machine" Back in Machine Learning for Engineering Students
The Third Teaching Machine Learning and Artificial Intelligence Workshop, 19-23 September 2022, Grenoble, France and online
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, September 8+13, 2021, Virtual Conference
Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses
Teaching Responsible Machine Learning to Engineers
Participatory Live Coding and Learning-Centered Assessment in Programming for Data Science
Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course
Introductory Machine Learning for non STEM students
Introduction to AI and its medical applications: Crash Course for an audience with diverse scientific backgrounds
Hearts Gym: Learning Reinforcement Learning as a Team Event
Teaching Deep Learning, a boisterous ever-evolving field
AI is not Just a Technology
Developing Open Source Educational Resources for Machine Learning and Data Science
Stimulating student engagement with an AI board game tournament
Teaching Machine Learning in Argentina: the ClusterAI pipeline
Data, Trees, and Forests - Decision Tree Learning in K-12 Education
Teaching Uncertainty Quantification in Machine Learning through Use Cases
Teaching ML in 2021 - An Overview and Introduction
Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, September 8+14, 2020, Virtual Conference
Turning Software Engineers into Machine Learning Engineers
Teaching Machine Learning in 2020
Teaching Computational Machine Learning (without Statistics)
A Deep Learning Bootcamp for Engineering & Management Students
Teaching Machine Learning with mlr3 using Shiny
Deep Learning Projects from a Regional Council: An Experience Report
A lesson for teaching fundamental Machine Learning concepts and skills to molecular biologists
Experiences from Teaching Practical Machine Learning Courses to Master's Students with Mixed Backgrounds
Teaching the Foundations of Machine Learning with Candy
Teaching Machine Learning with Applied Interdisciplinary Real World Projects
An Interactive Web Application for Decision Tree Learning
Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions
Teaching machine learning through end-to-end decision making
Teaching Machine Learning for the Physical Sciences: A summary of lessons learned and challenges
Teaching Machine Learning in the Context of Critical Quantitative Information Literacy
An Introduction to AI for GLAM
Identifying Synthetic Voices' Qualities for Conversational Agents
Television Programs Classification via Deep Learning Approach Using SSMI-CNN
Scientific Metrological Analysis of Government Services Based on Big Data Analysis and Visualization Software Driven by Information Technology
Applied Intelligence and Informatics - Second International Conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, Proceedings
Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings
Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates
Handwriting and Drawing for Depression Detection: A Preliminary Study
Machine Learning Models to Analyze the Effect of Drugs on Neonatal-ICU Length of Stay
Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency
Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends
Inference and Learning Methodology of Belief Rule Based Expert System to Assess Chikungunya
A Pyramidal Approach for Emotion Recognition from EEG Signals
Glaucoma Detection Using Inception Convolutional Neural Network V3
A Machine Learning Driven Android Based Mobile Application for Flower Identification
A Hybrid Speed and Radial Distance Feature Descriptor Using Optical Flow Approach in HAR
A Novel Approach to Identifying DDoS Traffic in the Smart Home Network via Exploratory Data Analysis
Toward an Interoperable Catalogue of Multimodal Depression-Related Data
Enhanced Signal Processing Using Modified Cyclic Shift Tree Denoising
A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process
Human Age Estimation Using Deep Learning from Gait Data
Mixed Bangla-English Spoken Digit Classification Using Convolutional Neural Network
Ensemble Classifiers for a 4-Way Classification of Alzheimer's Disease
Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks
Distributed Denial of Service Attack Detection Using Machine Learning and Class Oversampling
A Generative Text Summarization Model Based on Document Structure Neural Network
A CNN Based Model for Venomous and Non-venomous Snake Classification
Knowledge Discovery from Tumor Volume Using Adaptive Neuro Fuzzy Inference System Rules
Designing Low-Power and High-Speed FPGA-Based Binary Decision Tree Hardware Accelerators
Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications
Indoor Positioning and Navigation Using Bluetooth Low Energy and Cloud Service in Healthcare Perspective
An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions
A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC)
Identifying Relevant Stakeholders in Digital Healthcare
ALO: AI for Least Observed People
An Error Resilient Video Transmission in Ad Hoc Network Using Error Diffusion Block Truncation Coding
Few-Shot Learning for Tamil Handwritten Character Recognition Using Deep Siamese Convolutional Neural Network
Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars
COVID-Hero: Machine Learning Based COVID-19 Awareness Enhancement Mobile Game for Children
Tackling the Linear Sum Assignment Problem with Graph Neural Networks
Key Techniques and Challenges for Processing of Heart Sound Signals
Explainable Deep Learning for Alzheimer Disease Classification and Localisation
Method to Enhance Classification of Skin Cancer Using Back Propagated Artificial Neural Network
Recognition of Dysfluency in Speech: A Bidirectional Long-Short Term Memory Based Approach
Violent Video Event Detection: A Local Optimal Oriented Pattern Based Approach
An FPGA-Based Hardware Accelerator for the k-Nearest Neighbor Algorithm Implementation in Wearable Embedded Systems
Identifying Colluding Actors in Social Communities by Reputation Measures
A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values
Science Parks Externalities on Financial Performance of Small Firms Through Business Intelligence Tools
Applied Enhanced Q-NAS for COVID-19 Detection in CT Images
Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition
Sluggish State-Based Neural Networks Provide State-of-the-art Forecasts of Covid-19 Cases
ML-Based Radiomics Analysis for Breast Cancer Classification in DCE-MRI
A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks
Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps
iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis
Human Gender Detection from Facial Images Using Convolution Neural Network
Optimized Layout: A Genetic Algorithm for Industrial and Business Application
Automatic Seizure Prediction Based on Cross-Feature Fusion Stream Convolutional Neural Network
COVID-19 Detection Using Chest X-Ray Images with a RegNet Structured Deep Learning Model
iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence
Identification of Crown and Rump in First-Trimester Ultrasound Images Using Deep Convolutional Neural Network
Literature Classification Model of Deep Learning Based on BERT-BiLSTM - - Taking COVID-19 as an Example
A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images
MEMS and AI for the Recognition of Human Activities on IoT Platforms
Classification of First Trimester Ultrasound Images Using Deep Convolutional Neural Network
Extending Upon a Transfer Learning Approach for Brain Tumour Segmentation
Weakly Supervised Transfer Learning for Multi-label Appliance Classification
A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance
Plant Leaf Disease Detection Using Gabor Wavelet Transform
A Neighbourhood Based Hybrid Genetic Search Model for Feature Selection
Swarm, Evolutionary, and Memetic Computing - First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010. Proceedings
Design of Robust Optimal Fixed Structure Controller Using Self Adaptive Differential Evolution
Memetic Algorithm Used in Character Recognition
Damage Detection of Fixed-Fixed Beam: A Fuzzy Neuro Hybrid System Based Approach
Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms
Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes
Offline Parameter Estimation of Induction Motor Using a Meta Heuristic Algorithm
An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images
Comparison of PSO Tuned Feedback Linearisation Controller (FBLC) and PI Controller for UPFC to Enhance Transient Stability
Adaptive Differential Evolution with p -Best Crossover for Continuous Global Optimization
New Bio-inspired Meta-Heuristics - Green Herons Optimization Algorithm - for Optimization of Travelling Salesman Problem and Road Network
Analysis of Emergent Selection Pressure in Evolutionary Algorithm and Machine Learner Offspring Filtering Hybrids
A General Variable Neighborhood Search Algorithm for the No-Idle Permutation Flowshop Scheduling Problem
Optimal Location and Sizing of DG for Congestion Management in Deregulated Power Systems
Optimal Placement of Capacitors in Distribution Networks Using a Modified Teaching-Learning Based Algorithm
Clustering Algorithm Recommendation: A Meta-learning Approach
Rank Based Hybrid Multimodal Fusion Using PSO
Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality
Stochastic Unit Commitment Problem Incorporating Renewable Energy Power
Text and Data Mining to Detect Phishing Websites and Spam Emails
Hybrid Particle Swarm Optimization Algorithm and Firefly Algorithm Based Combined Economic and Emission Dispatch Including Valve Point Effect
Markov Random Field Model Based Graduated Penalty Function for Reinforcing Ill-Defined Edges in Color Image Segmentation
Biological Data Analysis Using Hybrid Functional Link Artificial Neural Network
Particle Swarm Optimization for the Deployment of Directional Sensors
Nurse Rostering Using Modified Harmony Search Algorithm
A Fuzzy Entropy Based Multi-Level Image Thresholding Using Differential Evolution
Artificial Bee Colony Algorithm for Transient Performance Augmentation of Grid Connected Distributed Generation
Towards a Link between Knee Solutions and Preferred Solution Methodologies
Development of Self-consistent Multi-objective Harmony Search Algorithm
Best Hiding Capacity Scheme for Variable Length Messages Using Particle Swarm Optimization
Genetic Algorithm Approaches to Solve RWA Problem in WDM Optical Networks
Curve Fitting Using Coevolutionary Genetic Algorithms
A Novel ELM K-Means Algorithm for Clustering
Predicting Trends in the Twitter Social Network: A Machine Learning Approach
A Differential Evolution Approach to Multi-level Image Thresholding Using Type II Fuzzy Sets
Path Generation and Obstacle Avoidance of an Autonomous Mobile Robot Using Intelligent Hybrid Controller
A Comparative Analysis of Results of Data Clustering with Variants of Particle Swarm Optimization
Solution to Economic Load Dispatch Problem Based on BFO, CBFO-S and CBFO-H Algorithms and Its Advantages over the PSO
Optimal Loss Reduction and Reconfiguration of Distribution System with Distributed Generation Using Harmony Search Algorithm
Hybrid PSO Based Integration of Multiple Representations of Thermal Hand Vein Patterns
Efficient Dynamic Routing on Large Road Networks
A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil
A Hybrid ANN-BFOA Approach for Optimization of FDM Process Parameters
Load Frequency Control: A Polar Fuzzy Approach
Substitute Domination Relation for High Objective Number Optimization
Normalized Normal Constraint Algorithm Based Multi-objective Optimal Tuning of Decentralised PI Controller of Nonlinear Multivariable Process - Coal Gasifier
Static/Dynamic Environmental Economic Dispatch Employing Chaotic Micro Bacterial Foraging Algorithm
A Novel Hybrid Algorithm for Discovering Motifs from Financial Time Series
Statistical and Fusion Based Hybrid Approach for Fault Signal Classification in Electromechanical System
Linear Array Geometry Synthesis with Minimum Side Lobe Level and Null Control Using Dynamic Multi-Swarm Particle Swarm Optimizer with Local Search
Solving Redundancy Optimization Problem with a New Stochastic Algorithm
Enhanced Memetic Algorithm for Task Scheduling
An ACO Approach to Job Scheduling in Grid Environment
Teaching-Learning-Based Optimization Algorithm in Dynamic Environments
Teaching Learning Opposition Based Optimization for the Location of Median Line in 3-D Space
A Novel Swarm Intelligence Based Gravitational Search Algorithm for Combined Economic and Emission Dispatch Problems
Differential Evolution Based Fuzzy Clustering
Multiobjective Differential Evolution Algorithm Using Binary Encoded Data in Selecting Views for Materializing in Data Warehouse
Genetic Algorithm for Optimizing Neural Network Based Software Cost Estimation
Reducing Power Losses in Power System by Using Self Adaptive Firefly Algorithm
Multi-objective Optimization of Economic-Emission Load Dispatch Using Cluster Based Differential Evolution
A Hybrid Particle Swarm with Differential Evolution Operator Approach (DEPSO) for Linear Array Synthesis
Application of Cascaded Correlation Neural Network for Financial Performance Prediction and Analysis of BSNL
A Quantum Behaved Particle Swarm Approach for Multi-response Optimization of WEDM Process
Data Clustering with Differential Evolution Incorporating Macromutations
Enhanced Discrete Differential Evolution to Determine Optimal Coordination of Directional Overcurrent Relays in a Power System
A Study of Decision Tree Induction for Data Stream Mining Using Boosting Genetic Programming Classifier
Multipopulation Based Differential Evolution with Self Exploitation Strategy
An Evolutionary Approach to Intelligent Planning
A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization
Intelligent Fault Tracking by an Adaptive Fuzzy Predictor and a Fractional Controller of Electromechanical System - A Hybrid Approach
Automatic Eye Detection in Face Images for Unconstrained Biometrics Using Genetic Programming
Reference Set Metrics for Multi-Objective Algorithms
Swarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part II
Classification of Stock Market Trends with Confidence-Based Selective Predictions
An Efficient Algorithm for Gray Level Image Enhancement Using Cuckoo Search
Multistage Covariance Matrix Adaptation with Differential Evolution for Constrained Optimization
Comparative Performance Study of Genetic Algorithm and Particle Swarm Optimization Applied on Off-grid Renewable Hybrid Energy System
Permutation Flowshop Scheduling Problem Using Classical NEH, ILS-ESP Operator
A Modified Differential Evolution Algorithm Applied to Challenging Benchmark Problems of Dynamic Optimization
Neglect Benevolence in Human-Swarm Interaction with Communication Latency
Palmprint Authentication Using Pattern Classification Techniques
Complex-Valued Neuro-Fuzzy Inference System Based Classifier
Multipopulation-Based Differential Evolution with Speciation-Based Response to Dynamic Environments
Evaluating Internet Information Search Channels Using Hybrid MCDM Technique
Large Scale Optimization Based on Co-ordinated Bacterial Dynamics and Opposite Numbers