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Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation
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Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks
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A survey of recent advances in CNN-based single image crowd counting and density estimation
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Privacy preserving crowd monitoring: Counting people without people models or tracking
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Deeply learned attributes for crowded scene understanding
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Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
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Counting Everyday Objects in Everyday Scenes
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DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
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Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
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Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
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People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting
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Rich Convolutional Features Fusion for Crowd Counting
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Almost Unsupervised Learning for Dense Crowd Counting
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Applications of artificial intelligence and machine learning in microbial diagnostics and identification
inferred← citeshttps://doi.org/10.1016/j.atech.2022.100125openalex-snapshot
Multiclass Insect Counting Through Deep Learning-Based Density Maps Estimation
inferred← citeshttps://doi.org/10.1016/j.commatsci.2021.110967openalex-snapshot
A 3D orthogonal vision-based band-gap prediction using deep learning: A proof of concept
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106296openalex-snapshot
Automatic counting and positioning of slaughter pigs within the pen using a convolutional neural network and video images
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106417openalex-snapshot
Center clustering network improves piglet counting under occlusion
inferred← citeshttps://doi.org/10.1016/j.compag.2022.106933openalex-snapshot
Insect counting through deep learning-based density maps estimation
inferred← citeshttps://doi.org/10.1016/j.compind.2022.103662openalex-snapshot
Deep learning characterization of surface defects in the selective laser melting process
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2018.02.002openalex-snapshot
Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology
inferred← citeshttps://doi.org/10.1016/j.csbj.2023.10.007openalex-snapshot
Automation of Caenorhabditis elegans lifespan assay using a simplified domain synthetic image-based neural network training strategy
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117823openalex-snapshot
Estimating crowd density with edge intelligence based on lightweight convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e24403openalex-snapshot
YOLO and residual network for colorectal cancer cell detection and counting
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e39515openalex-snapshot
RETRACTED: Cultivation strategies of English thinking ability in the environment of Internet of Things
inferred← citeshttps://doi.org/10.1016/j.imavis.2022.104597openalex-snapshot
Revisiting crowd counting: State-of-the-art, trends, and future perspectives
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.102983openalex-snapshot
Next-generation coupled structure-human sensing technology: Enhanced pedestrian-bridge interaction analysis using data fusion and machine learning
inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.137300openalex-snapshot
Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11
inferred← citeshttps://doi.org/10.1016/j.procs.2021.08.206openalex-snapshot
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration
inferred← citeshttps://doi.org/10.1016/j.suscom.2024.101004openalex-snapshot
Artificial intelligence-powered visual internet of things in smart cities: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.trc.2022.103699openalex-snapshot
Adaptive cell-based evacuation systems for leader-follower crowd evacuation
inferred← citeshttps://doi.org/10.1038/s41598-022-09685-wopenalex-snapshot
An effective modular approach for crowd counting in an image using convolutional neural networks
inferred← citeshttps://doi.org/10.1038/s41598-022-23176-yopenalex-snapshot
Application of artificial intelligence to decode the relationships between smell, olfactory receptors and small molecules
inferred← citeshttps://doi.org/10.1049/itr2.12165openalex-snapshot
Prediction model for short‐term traffic flow based on a K‐means‐gated recurrent unit combination
inferred← citeshttps://doi.org/10.1080/09669582.2020.1866586openalex-snapshot
From a drone’s eye view: indicators of overtourism in a sea, sun, and sand destination
inferred← citeshttps://doi.org/10.1108/jm2-02-2022-0034openalex-snapshot
A deep learning counting model applied to quality control
inferred← citeshttps://doi.org/10.1109/access.2021.3112174openalex-snapshot
U-ASD Net: Supervised Crowd Counting Based on Semantic Segmentation and Adaptive Scenario Discovery
inferred← citeshttps://doi.org/10.1109/access.2022.3219839openalex-snapshot
Dual Reconstructive Autoencoder for Crowd Localization and Estimation in Density and FIDT Maps
inferred← citeshttps://doi.org/10.1109/access.2022.3222536openalex-snapshot
Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment With Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation
inferred← citeshttps://doi.org/10.1109/access.2022.3225233openalex-snapshot
Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
inferred← citeshttps://doi.org/10.1109/aiiot65859.2025.11105271openalex-snapshot
Improving Object Counting Accuracy with Adaptive CNN Models and Meta-Level Routing
inferred← citeshttps://doi.org/10.1109/aipr50011.2020.9425331openalex-snapshot
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020268openalex-snapshot
Store Congestion Forecast under the Pandemic using Point of Sales Statistics
inferred← citeshttps://doi.org/10.1109/cenim64038.2024.10882716openalex-snapshot
Ensemble CNN Models for Accurate Pneumonia Classification in Chest X-Ray Images
inferred← citeshttps://doi.org/10.1109/giest66547.2025.11387647openalex-snapshot
A Novel AI-Based Predictive Crowd Monitoring and Stampede Prevention System
inferred← citeshttps://doi.org/10.1109/ic-nidc54101.2021.9660586openalex-snapshot
I-MMCCN: Improved MMCCN for RGB-T Crowd Counting of Drone Images
inferred← citeshttps://doi.org/10.1109/icaaic56838.2023.10140976openalex-snapshot
Ladies Finger Leaf Disease Detection using CNN
inferred← citeshttps://doi.org/10.1109/icfcr50903.2020.9249984openalex-snapshot
Real Time Crowd Counting: A Review
inferred← citeshttps://doi.org/10.1109/icpcsn65854.2025.11035862openalex-snapshot
Crowd Counting in Large Gatherings and Events using MCNN a Brief Study
inferred← citeshttps://doi.org/10.1109/ieit56384.2022.9967905openalex-snapshot
Crowd Counting During a Pandemic to Find Out Community Response to Activity Restriction Policy Using Deep Learning
inferred← citeshttps://doi.org/10.1109/ipta59101.2023.10320068openalex-snapshot
Context-Aware Facial Expression Recognition in Group Photos
inferred← citeshttps://doi.org/10.1109/isas60782.2023.10391466openalex-snapshot
Comparison of YOLOv8 and Detectron2 on Crowd Counting techniques
inferred← citeshttps://doi.org/10.1109/isc253183.2021.9562964openalex-snapshot
Sensing Street-level Crowd Density by Observing Public Bluetooth Low Energy Advertisements from Contact Tracing Applications
inferred← citeshttps://doi.org/10.1109/lsp.2024.3446693openalex-snapshot
DDRANet: A Dynamic Density-Region-Aware Network for Crowd Counting
inferred← citeshttps://doi.org/10.1109/mi-sta54861.2022.9837673openalex-snapshot
Transfer Learning For Crowed Counting
inferred← citeshttps://doi.org/10.1109/sces61914.2024.10652338openalex-snapshot
Scale Aware Dynamic Crowd Monitoring in Disaster Management
inferred← citeshttps://doi.org/10.1145/3448734.3450821openalex-snapshot
Research on kinematics simulation of industrial robot based on MATLAB
inferred← citeshttps://doi.org/10.1155/2021/7006541openalex-snapshot
[Retracted] Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network
inferred← citeshttps://doi.org/10.1186/s12967-026-07746-6openalex-snapshot
Risk stratification in diabetic kidney disease: a review of prediction models for methodological advances and clinical application
inferred← citeshttps://doi.org/10.12720/jait.14.6.1450-1460openalex-snapshot
Neural Network-Based Crowd Counting Systems: State of the Art, Challenges, and Perspectives
inferred← citeshttps://doi.org/10.1371/journal.pone.0299950openalex-snapshot
Early warning on safety risk of highly aggregated tourist crowds based on VGGT-Count network model
inferred← citeshttps://doi.org/10.17219/acem/138702openalex-snapshot
Machine learning in orthodontics: Challenges and perspectives
inferred← citeshttps://doi.org/10.20517/jmi.2024.70openalex-snapshot
Predicting stacking fault energy in austenitic stainless steels via physical metallurgy-based machine learning approaches
inferred← citeshttps://doi.org/10.24912/jiksi.v11i1.24079openalex-snapshot
Identifikasi Jumlah Manusia Dalam Kerumunan Menggunakan Convolutional Neural Network
inferred← citeshttps://doi.org/10.26439/ing.ind2022.n.5804openalex-snapshot
Conteo de gránulos usando redes neuronales tipo U-Net y componentes conectados
inferred← citeshttps://doi.org/10.3233/faia210302openalex-snapshot
A Study on the Correlation Between Emotion and the Quality of Life of the Elderly Under the Artificial Intelligent Smile Recognition System: Protocol for a Descriptive Study
inferred← citeshttps://doi.org/10.3233/thc-213008openalex-snapshot
Dynamic data processing system for sports training system using internet of things
inferred← citeshttps://doi.org/10.3233/xst-200694openalex-snapshot
Quick and accurate selection of hand images among radiographs from various body parts using deep learning
inferred← citeshttps://doi.org/10.32604/jiot.2022.037489openalex-snapshot
A Detailed Study on IoT Platform for ECG Monitoring Using Transfer Learning
inferred← citeshttps://doi.org/10.3389/fmed.2024.1394262openalex-snapshot
Deep learning for MRI lesion segmentation in rectal cancer
inferred← citeshttps://doi.org/10.3390/app112110351openalex-snapshot
Parametric Optimization of Combined Wind-Solar Energy Power Plants for Sustainable Smart City Development
inferred← citeshttps://doi.org/10.3390/bios11060188openalex-snapshot
Integrating ECG Monitoring and Classification via IoT and Deep Neural Networks
inferred← citeshttps://doi.org/10.3390/buildings11100463openalex-snapshot
An Image-Based Steel Rebar Size Estimation and Counting Method Using a Convolutional Neural Network Combined with Homography
inferred← citeshttps://doi.org/10.3390/electronics11193173openalex-snapshot
A State of Art Review on Methodologies of Occupancy Estimating in Buildings from 2011 to 2021
inferred← citeshttps://doi.org/10.3390/electronics12122631openalex-snapshot
MSGSA: Multi-Scale Guided Self-Attention Network for Crowd Counting
inferred← citeshttps://doi.org/10.3390/f16020237openalex-snapshot
A Novel Approach for the Counting of Wood Logs Using cGANs and Image Processing Techniques
inferred← citeshttps://doi.org/10.3390/ma15103495openalex-snapshot
Prediction of Deformation-Induced Martensite Start Temperature by Convolutional Neural Network with Dual Mode Features
inferred← citeshttps://doi.org/10.3390/mi14112110openalex-snapshot
Design of a Femtosecond Laser Percussion Drilling Process for Ni-Based Superalloys Based on Machine Learning and the Genetic Algorithm
inferred← citeshttps://doi.org/10.3390/rs13081424openalex-snapshot
Development of Tools for Coastal Management in Google Earth Engine: Uncertainty Bathtub Model and Bruun Rule
inferred← citeshttps://doi.org/10.3390/rs14102288openalex-snapshot
On-Board Crowd Counting and Density Estimation Using Low Altitude Unmanned Aerial Vehicles—Looking beyond Beating the Benchmark
inferred← citeshttps://doi.org/10.3390/s20216038openalex-snapshot
LED Wristbands for Cell-Based Crowd Evacuation: An Adaptive Exit-Choice Guidance System Architecture
inferred← citeshttps://doi.org/10.3390/s20247209openalex-snapshot
An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities
inferred← citeshttps://doi.org/10.3390/s21103483openalex-snapshot
HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting
inferred← citeshttps://doi.org/10.3390/s21113777openalex-snapshot
Congested Crowd Counting via Adaptive Multi-Scale Context Learning
inferred← citeshttps://doi.org/10.3390/s24113276openalex-snapshot
Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions
inferred← citeshttps://doi.org/10.36227/techrxiv.23256587openalex-snapshot
Crowd Counting and Density Estimation using Deep Network-A Comprehensive Survey
inferred← citeshttps://doi.org/10.36227/techrxiv.23256587.v1openalex-snapshot
Crowd Counting and Density Estimation using Deep Network-A Comprehensive Survey
inferred← citeshttps://doi.org/10.4018/978-1-6684-6275-1.ch009openalex-snapshot
Edge AI-Based Crowd Counting Application for Public Transport Stops
inferred← citeshttps://doi.org/10.4103/jomfp.jomfp_448_23openalex-snapshot
Narrative review on artificially intelligent olfaction in halitosis
inferred← citeshttps://doi.org/10.4108/eai.17-1-2025.2355235openalex-snapshot
Vulnerability and Defense: Mitigating Backdoor Attacks in Deep Learning-Based Crowd Counting Models
inferred← citeshttps://doi.org/10.54033/cadpedv21n8-128openalex-snapshot
Mobile software for automated segmentation, counting, and management of wood logs
inferred← citeshttps://doi.org/10.56082/annalsarscieng.2025.2.126openalex-snapshot
USING ARTIFICIAL INTELLIGENCE AND SOFTWARE-DEFINED NETWORKING (SDN) TO IMPROVE PASSENGER FLOW AND NETWORK EFFICIENCY IN AIRPORT LANDSIDE AREAS
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.