An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images | Paper Citation Record

Observation 54bf67c2-2b06-4f6a-aed3-2ae261546ce2 · outbound

This paper cites Research trends in pavement management during the first years of the 21st century: A bibliometric analysis during the 2000–2013 period,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Research trends in pavement management during the first years of the 21st century: A bibliometric analysis during the 2000–2013 period,

Reference 1

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.148178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f14bf9f1-7dde-4c16-8feb-5ae36a783b68 · outbound

This paper cites Machine learning techniques for pavement condition evaluation,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Machine learning techniques for pavement condition evaluation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.257708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc302697-575f-4ffd-8238-ef7ef587962f · outbound

This paper cites Pavesam–segment anything for pavement distress,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Pavesam–segment anything for pavement distress,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.241822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 126eef72-caa1-42fa-af5e-9de17e9939ee · outbound

This paper cites Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:20:14.069628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ffb570e-d75a-4362-b632-f8cfd899cba5 · outbound

This paper cites A simplified pavement condition index regression model for pavement evaluation,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images A simplified pavement condition index regression model for pavement evaluation,

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T10:20:14.049858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5944046-8693-475c-9821-a3dd4888ef2c · outbound

This paper cites Study of pavement condition index (pci) relationship with international roughness index (iri) on flexible pavement,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Study of pavement condition index (pci) relationship with international roughness index (iri) on flexible pavement,

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-16T10:20:13.986377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f79554ce-1c5f-45cf-ac28-4227148c9fef · outbound

This paper cites Deep Learning Approaches in Pavement Distress Identification: A Review.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Deep Learning Approaches in Pavement Distress Identification: A Review

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:20:13.848989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8987cfb1-82c9-43bf-9034-4ed8745e897f · outbound

This paper cites Development of overall pavement condition index for urban road network,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Development of overall pavement condition index for urban road network,

Reference 10

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.117844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d22943ee-23e4-4b10-a85c-47f76facb7d1 · outbound

This paper cites Deep machine learning approach to develop a new asphalt pavement condition index,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Deep machine learning approach to develop a new asphalt pavement condition index,

Reference 11

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T10:20:13.827603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e82a7ddb-6581-40bf-b982-cacbb20438d4 · outbound

This paper cites Data analytics in asset management: Cost-effective prediction of the pavement condition index,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Data analytics in asset management: Cost-effective prediction of the pavement condition index,

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-16T10:20:12.756246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b9208f-c28d-46f0-ad0a-04a05a98ab6a · outbound

This paper cites Relationship between pavement roughness and distress parameters for indian highways,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Relationship between pavement roughness and distress parameters for indian highways,

Reference 13

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:20:13.920139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd3c5c54-bdbc-4048-a2cf-17373c2ee193 · outbound

This paper cites Performance prediction of interstate flexible pavement across the midwestern united states: Random-parameter regression vs artificial neural network,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Performance prediction of interstate flexible pavement across the midwestern united states: Random-parameter regression vs artificial neural network,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-16T10:20:13.762858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a3023d7-23b1-4deb-a452-0ecd433e2c2b · outbound

This paper cites The 1st Data Science for Pavements Challenge.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images The 1st Data Science for Pavements Challenge

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:20:13.696404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88960255-95ba-4b78-aa07-87b80f5baede · outbound

This paper cites PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.774812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5eb84cd-a9b8-4de8-8dac-344376207770 · outbound

This paper cites Predicting pavement condition index based on the utilization of machine learning techniques: A case study,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Predicting pavement condition index based on the utilization of machine learning techniques: A case study,

Reference 17

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.092937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0cbe05b-2c1d-4d42-baf4-11e66185200d · outbound

This paper cites Asphalt pavement damage detection through deep learning technique and cost-effective equipment: A case study in urban roads crossed by tramway lines,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Asphalt pavement damage detection through deep learning technique and cost-effective equipment: A case study in urban roads crossed by tramway lines,

Reference 18

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.077391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6c424b8-7367-4971-9c7d-d3e3d781efed · outbound

This paper cites A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying whale optimization algorithm and random forest regression,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying whale optimization algorithm and random forest regression,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.789227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d7ac88-49b6-4400-beed-606263ca1a6c · outbound

This paper cites Deepsegmenter: Temporal action localization for detecting anomalies in untrimmed naturalistic driving videos,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Deepsegmenter: Temporal action localization for detecting anomalies in untrimmed naturalistic driving videos,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.227640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07d06e36-582c-4137-9aa2-cf45e9d0fbc1 · outbound

This paper cites Prediction of pavement overall condition index based on wrapper feature-selection techniques using municipal pavement data,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Prediction of pavement overall condition index based on wrapper feature-selection techniques using municipal pavement data,

Reference 21

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.062051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82df1bcc-0126-4165-b04e-a20f0f8f7c6f · outbound

This paper cites A cost effective solution for pavement crack inspection using cameras and deep neural networks,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images A cost effective solution for pavement crack inspection using cameras and deep neural networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.802463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f82253-1dd2-46f1-839e-6a90684ea91b · outbound

This paper cites Implementation of deep neural networks for pavement condition index prediction,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Implementation of deep neural networks for pavement condition index prediction,

Reference 23

Resolution: malformed identifier; doi_truncated, observed 2026-08-16T10:20:13.046417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1912055-1392-43c5-8e36-835e6209cdbb · outbound

This paper cites Attention, please! a survey of neural attention models in deep learning,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Attention, please! a survey of neural attention models in deep learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.811157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d8dcb9c-273e-441b-991c-20289891dd22 · outbound

This paper cites Asenn: Attention-based selective embedding neural networks for road distress prediction,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Asenn: Attention-based selective embedding neural networks for road distress prediction,

Reference 25

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.021331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c63dc76-2ad5-4884-b214-8aa710c04467 · outbound

This paper cites Automatic pavement crack detection and classification using multiscale feature attention network,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Automatic pavement crack detection and classification using multiscale feature attention network,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.820019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fbe07e6-cb71-45e0-9cc7-92c55a230d2d · outbound

This paper cites Vision-language model- based polyformer for recognizing visual questions with multiple answer groundings.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Vision-language model- based polyformer for recognizing visual questions with multiple answer groundings

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.213762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ce218a9-9a4b-42a4-acf6-62e9a9f18258 · outbound

This paper cites Smartphone-based pavement roughness estimation using deep learning with entity embedding,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Smartphone-based pavement roughness estimation using deep learning with entity embedding,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.199287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca24fb17-8dcd-4113-a7da-dc5481c7f28a · outbound

This paper cites The road pavement condition index (pci) evaluation and maintenance: A case study of yemen,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images The road pavement condition index (pci) evaluation and maintenance: A case study of yemen,

Reference 29

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.006211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e25d9b2b-e422-4e51-b8f9-63264146a1fe · outbound

This paper cites An investigation into the factors that influence the use of transportation network company services using national household travel survey data,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images An investigation into the factors that influence the use of transportation network company services using national household travel survey data,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.185002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55f8823b-2fda-48f8-a1b8-cd146ba48db6 · outbound

This paper cites Real-time multi- class helmet violation detection using few-shot data sampling technique and yolov8,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Real-time multi- class helmet violation detection using few-shot data sampling technique and yolov8,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.170443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 351b307e-94d7-425b-9a84-7000f26314e8 · outbound

This paper cites Weather- adaptive synthetic data generation for enhanced power line inspection using stargan,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Weather- adaptive synthetic data generation for enhanced power line inspection using stargan,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.156028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74feff2b-4963-45bb-ac51-42f508768b2c · outbound

This paper cites Gazesam: Interactive image segmentation with eye gaze and segment anything model,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Gazesam: Interactive image segmentation with eye gaze and segment anything model,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.140851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1e3d035-9b3b-4aab-a70c-10dd44e5d0a1 · outbound

This paper cites All you need is data: A multimodal approach in understanding driver behavior.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images All you need is data: A multimodal approach in understanding driver behavior

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.127495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 608d4250-7cd1-4bbd-9e26-d4ed32988fcf · outbound

This paper cites Automation recognition of pavement surface distress based on support vector machine,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Automation recognition of pavement surface distress based on support vector machine,

Reference 35

Resolution: verified exact; doi, observed 2026-08-16T10:20:12.990401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40bb98ea-9cd5-464c-a734-e90f4a200fc2 · outbound

This paper cites Divneds: Diverse naturalistic edge driving scene dataset for autonomous vehicle scene understanding,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Divneds: Diverse naturalistic edge driving scene dataset for autonomous vehicle scene understanding,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.112999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71820793-6434-40f9-bc82-1dbb0cf58cf8 · outbound

This paper cites Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.868704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b3ff81b-7f74-4b7f-9545-5beb78ac5980 · outbound

This paper cites QCA V - a method based on machine learning using hand-crafted features for crack detection from asphalt pavement surface images,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images QCA V - a method based on machine learning using hand-crafted features for crack detection from asphalt pavement surface images,

Reference 38

Resolution: verified exact; doi, observed 2026-08-16T10:20:12.975083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b6bca1e-86ae-476b-b703-98715c888796 · outbound

This paper cites Cracking classification using minimum rectangular cover–based support vector machine,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Cracking classification using minimum rectangular cover–based support vector machine,

Reference 39

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T10:20:13.471454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ea404a1-8f82-4774-a3b9-404b7fcbb16f · outbound

This paper cites Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.883013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7afb6ce-e372-4a77-92e9-4755e585fc9c · outbound

This paper cites Saam-reflectnet: Sign-aware attention-based multitasking framework for integrated traffic sign detection and retroreflectivity estimation,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Saam-reflectnet: Sign-aware attention-based multitasking framework for integrated traffic sign detection and retroreflectivity estimation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.099210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ccb6702-2270-40d3-8852-b4d73903bf7f · outbound

This paper cites A machine learning study of the dynamic modulus of asphalt concretes: An application of m5p model tree algorithm,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images A machine learning study of the dynamic modulus of asphalt concretes: An application of m5p model tree algorithm,

Reference 42

Resolution: malformed identifier; no resolver link, observed 2026-08-16T10:20:12.892301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e0b6a0-02d2-41dd-9bf9-cf9380b3ccce · outbound

This paper cites Hybrid method: Automatic crack detection of asphalt pavement images using learning-based and density- based techniques,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Hybrid method: Automatic crack detection of asphalt pavement images using learning-based and density- based techniques,

Reference 43

Resolution: verified exact; doi, observed 2026-08-16T10:20:13.133119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d895f058-87ec-4811-ae9c-6b9c77ad524a · outbound

This paper cites Deep learning-based visual crack detection using google street view images,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Deep learning-based visual crack detection using google street view images,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.900454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506eb62d-844b-47ad-93ee-10338970e09e · outbound

This paper cites Yolov5s-m: A deep learning network model for road pavement damage detection from urban street-view imagery,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Yolov5s-m: A deep learning network model for road pavement damage detection from urban street-view imagery,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.905218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d899d828-de2a-498d-b6e8-ff71f64f0aae · outbound

This paper cites Automated pavement distress detection and deterioration analysis using street view map,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Automated pavement distress detection and deterioration analysis using street view map,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.909582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b64667f-17f7-4e50-9d71-d1c3804e3b26 · outbound

This paper cites Deep residual learning for image recognition,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Deep residual learning for image recognition,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:12.914004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cbc3be3-73e2-446c-b7f2-4cebd801220d · outbound

This paper cites Visualizing and understanding convolutional networks,.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images Visualizing and understanding convolutional networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:20:14.084105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers