Search Results - "Inception Network"

Short-term PV prediction using multiperiod similar days and TimeGAN-inception

Authors: Xiaomei Wu Ruitao Wu Siming Wu et al.

Source: International Journal of Electrical Power & Energy Systems, Vol 172, Iss , Pp 111287- (2025)

Subject Terms: PV power prediction, Multiperiod similarity days, TimeGAN, Inception network, Convolutional neural network, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S014206152500835X; https://doaj.org/toc/0142-0615

Access URL: https://doaj.org/article/1df727330a4d4c84a005ef6b609e29e1

Toward Real-Time Monitoring of High-Voltage Insulators: Progressive Flashover Classification Using Quantized Deep Learning

Authors: Umer Amir Khan

Source: IEEE Open Journal of Industry Applications, Vol 6, Pp 630-646 (2025)

Subject Terms: Flashover prediction, high-voltage insulators (HVI), leakage current classification, machine learning (ML), deep learning, inception network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11123745/; https://doaj.org/toc/2644-1241

Access URL: https://doaj.org/article/6138ea6c194742d095ba6e1cebc0b3cb

A novel deep learning‐based single shot multibox detector model for object detection in optical remote sensing images

Authors: Liguo Wang Yin Shoulin Hashem Alyami et al.

Source: Geoscience Data Journal, Vol 11, Iss 3, Pp 237-251 (2024)

Subject Terms: deep learning, feature pyramid network, inception network, object detection, remote sensing image, single shot multibox detector, Meteorology. Climatology, QC851-999, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/2049-6060

Access URL: https://doaj.org/article/ab2f1504ff6e4927a7836e626af7584b

InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks

Authors: Mahmood Kalemati Mojtaba Zamani Emani Somayyeh Koohi

Source: Heliyon, Vol 11, Iss 3, Pp e42476- (2025)

Subject Terms: Drug-target binding affinity prediction, Deep representation learning, Inception network, Interaction, CharVec encoding, Science (General), Q1-390, Social sciences (General), H1-99

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844025008564; https://doaj.org/toc/2405-8440

Access URL: https://doaj.org/article/78f02d90827b4d81aa8c93eacf96fb03

Integration of feature enhancement technique in Google inception network for breast cancer detection and classification

Authors: Wasyihun Sema Admass Yirga Yayeh Munaye Ayodeji Olalekan Salau

Source: Journal of Big Data, Vol 11, Iss 1, Pp 1-30 (2024)

Subject Terms: Breast cancer detection, Deep learning, Convolutional neural networks (CNNs), Google inception network, Feature enhancement, Medical image analysis, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2196-1115

Access URL: https://doaj.org/article/0e963905234f428f9bc89337fd6b6269

Improved Three-Dimensional Inception Networks for Hyperspectral Remote Sensing Image Classification

Authors: Xiaoxia Zhang

Source: IEEE Access, Vol 11, Pp 32648-32658 (2023)

Subject Terms: remote sensing, three-dimensional inception network, deep learning, Electrical engineering. Electronics. Nuclear engineering, Hyperspectral image classification, adaptive band selection, TK1-9971

Access URL: https://doaj.org/article/24106167edfd40c0b251a8718d6e8b13

Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification

Authors: Muhammad Ahmad Adil Khan Manuel Mazzara et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3948-3957 (2022)

Subject Terms: Artificial intelligence, Support vector machine, hyperspectral images classification (HSIC), Hyperspectral imaging, Feature (linguistics), Convolutional neural network (CNN), Geophysics. Cosmic physics, 0211 other engineering and technologies, Image Retrieval, 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Filter (signal processing), Net (polyhedron), Engineering, Convolution (computer science), 0202 electrical engineering, electronic engineering, information engineering, Object Recognition, convolutional neural network (CNN), Inception network, FOS: Philosophy, ethics and religion, Programming language, Ocean engineering, Physical Sciences, Feature extraction, Computer Vision and Pattern Recognition, Feature Matching, Artificial neural network, Attention mechanism, Geometry, Convolutional neural network, inception network, Multispectral and Hyperspectral Image Fusion, Image Feature Retrieval and Recognition Techniques, Media Technology, FOS: Mathematics, TC1501-1800, QC801-809, Change Detection, Discriminative model, Linguistics, 15. Life on land, Hyperspectral Image Analysis and Classification, Computer science, Philosophy, Hyperspectral, Combinatorics, Computer Science, Kernel (algebra), FOS: Languages and literature, Pipeline (software), Computer vision, Hyperspectral images classification (HSIC), Pixel, Block (permutation group theory), Mathematics

Access URL: https://doaj.org/article/80ea5c2a3f9a43fc81a5a1f4ba3b4761

Deep Neural Networks Using Residual Fast-Slow Refined Highway and Global Atomic Spatial Attention for Action Recognition and Detection

Authors: Manh-Hung Ha Oscal Tzyh-Chiang Chen

Source: IEEE Access, Vol 9, Pp 164887-164902 (2021)

Subject Terms: Artificial neural network, Artificial intelligence, highway network, Class (philosophy), residual network, Organic chemistry, Convolutional neural network, 02 engineering and technology, inception network, Pattern recognition (psychology), Action recognition, Anomaly Detection in High-Dimensional Data, Layer (electronics), 03 medical and health sciences, Deep Learning, Convolution (computer science), 0302 clinical medicine, Artificial Intelligence, Object Detection, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Neural Network Architectures, action recognition, Pure mathematics, Affine transformation, Computer science, TK1-9971, Algorithm, 3D CNN, Chemistry, Action Recognition, Human Action Recognition and Pose Estimation, Residual, Computer Science, Physical Sciences, Feature extraction, Deep Learning in Computer Vision and Image Recognition, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, High-Dimensional Data, attention mechanism, Mathematics

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09646928.pdf
https://doaj.org/article/f623ebfea13f439487d6ae498cadd70b

Encryption and Compression Classification of Internet of Things Traffic

Authors: M Saleh, Mariam Najdat

Source: Browse all Theses and Dissertations

Subject Terms: Department of Computer Science and Engineering, Physical Sciences and Mathematics, Computer Sciences, Engineering, Computer Engineering, Artificial Intelligence, Computer Science, Information Science, Information Technology, IoT, Encryption, Compression, Classification, Deep learning, Mish function, Entropy test, Chi-squared test, Anderson-Darling test, File Type, Inception Network, File Classification, Histogram, Kernel Density Estimation, Cumulative Density Function

File Description: application/pdf

Relation: https://corescholar.libraries.wright.edu/etd_all/2819; https://corescholar.libraries.wright.edu/context/etd_all/article/3960/viewcontent/send.pdf

Availability: https://corescholar.libraries.wright.edu/etd_all/2819
https://corescholar.libraries.wright.edu/context/etd_all/article/3960/viewcontent/send.pdf

Improving generalisation and accuracy of on-line milling chatter detection via a novel hybrid deep convolutional neural network

Authors: Zhang, Pengfei Gao, Dong Hong, Dongbo et al.

Subject Terms: Chatter detection, Deep learning, Inception network, ResNet, Squeeze-and-excitation network

Relation: https://nottingham-repository.worktribe.com/output/19009529; Mechanical Systems and Signal Processing; Volume 193

Availability: https://doi.org/10.1016/j.ymssp.2023.110241
https://nottingham-repository.worktribe.com/file/19009529/1/Improving%20Generalisation%20And%20Accuracy
https://nottingham-repository.worktribe.com/output/19009529

IRDC-Net: An Inception Network with a Residual Module and Dilated Convolution for Sign Language Recognition Based on Surface Electromyography

Authors: Xiangrui Wang Lu Tang Qibin Zheng et al.

Source: Sensors, Vol 23, Iss 13, p 5775 (2023)

Subject Terms: sign language recognition, surface electromyogram, inception network, residual module, dilated convolution, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/23/13/5775; https://doaj.org/toc/1424-8220; https://doaj.org/article/3b2b3373faec4f0bbd5c30335b2b2465

Availability: https://doi.org/10.3390/s23135775
https://doaj.org/article/3b2b3373faec4f0bbd5c30335b2b2465

Intelligent image analysis recognizes important orchid viral diseases

Authors: Cheng-Feng Tsai Chih-Hung Huang Fu-Hsing Wu et al.

Source: Frontiers in Plant Science, Vol 13 (2022)

Subject Terms: orchid disease, texture feature, deep learning, U-net, random forest, inception network, Plant culture, SB1-1110

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2022.1051348/full; https://doaj.org/toc/1664-462X

Access URL: https://doaj.org/article/bbcb77ed4bf6434ca3458bfe656a63d7

Autonomous Modulation Classification using Single Inception Module based Convolutional Neural Network

Authors: Adnan Fazil Muhammad Adnan Muhammad Khurram et al.

Source: 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST). :966-973

Subject Terms: Fields, Communication, AWGN channel, 02 engineering and technology, inception network, modulation classification, Rician fading model, 01 natural sciences, Waves and Electromagnetics, 0104 chemical sciences, convolution neural network, 0203 mechanical engineering, Signal Processing and Analysis, Networking and Broadcast Technologies, 16 QAM points, Quadrature amplitude modulation (QAM), Cooperative communication

Access URL: https://www.techrxiv.org/articles/preprint/Autonomous_Modulation_Classification_using_Single_Inception_Module_based_Convolutional_Neural_Network/13455719/3/files/26001776.pdf
https://www.techrxiv.org/articles/preprint/Autonomous_Modulation_Classification_using_Single_Inception_Module_based_Convolutional_Neural_Network/13455719/files/25842494.pdf
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9393285
https://www.techrxiv.org/articles/preprint/Autonomous_Modulation_Classification_using_Single_Inception_Module_based_Convolutional_Neural_Network/13455719/files/25842494.pdf
https://www.techrxiv.org/articles/preprint/Autonomous_Modulation_Classification_using_Single_Inception_Module_based_Convolutional_Neural_Network/13455719/1
http://xplorestaging.ieee.org/ielx7/9393028/9393162/09393285.pdf?arnumber=9393285

Radar HRRP Target Recognition Based on Deep One-Dimensional Residual-Inception Network

Authors: Chen Guo You He Haipeng Wang et al.

Source: IEEE Access, Vol 7, Pp 9191-9204 (2019)

Subject Terms: one-dimensional residual-inception network, cosine center loss, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Radar target recognition, high-resolution range profile, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08606911.pdf
https://doaj.org/article/6d108e671c2f4364b34270de19a925b1
https://ieeexplore.ieee.org/document/8606911/
https://dblp.uni-trier.de/db/journals/access/access7.html#GuoHWJS19

Raman Spectroscopy and Improved Inception Network for Determination of FHB-Infected Wheat Kernels

Authors: Mengqing Qiu Shouguo Zheng Le Tang et al.

Source: Foods, Vol 11, Iss 578, p 578 (2022)

Subject Terms: Raman spectroscopy, Fusarium head blight (FHB), wheat kernels, inception network, residual module, channel attention module, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/2304-8158/11/4/578; https://doaj.org/toc/2304-8158; https://doaj.org/article/0f2d4e8331b94b48ac6176dd739afe48

Availability: https://doi.org/10.3390/foods11040578
https://doaj.org/article/0f2d4e8331b94b48ac6176dd739afe48

Hyperspectral Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Authors: Bei Fang Yu Liu Haokui Zhang et al.

Source: Remote Sensing, Vol 14, Iss 1711, p 1711 (2022)

Subject Terms: hyperspectral image classification, convolutional neural network, light-weight network, 3D asymmetric inception network, transfer learning, Science

Relation: https://www.mdpi.com/2072-4292/14/7/1711; https://doaj.org/toc/2072-4292; https://doaj.org/article/43f2fbfd6beb4926b762d83ceb587720

Availability: https://doi.org/10.3390/rs14071711
https://doaj.org/article/43f2fbfd6beb4926b762d83ceb587720

Compression Helps Deep Learning in Image Classification

Authors: En-Hui Yang Hossam Amer Yanbing Jiang

Source: Entropy, Vol 23, Iss 881, p 881 (2021)

Subject Terms: image compression, deep learning, inception network, residual network, JPEG, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/23/7/881; https://doaj.org/toc/1099-4300; https://doaj.org/article/7de7ec1ee4b847ff9a21ac06293435ee

Availability: https://doi.org/10.3390/e23070881
https://doaj.org/article/7de7ec1ee4b847ff9a21ac06293435ee

RDsLINet: A Novel Lightweight Inception Network For Respiratory Disease Classification Using Lung Sounds

Authors: Arka Roy (14264174) Udit Satija (14264357)

Subject Terms: Signal Processing and Analysis, Bioengineering, Computing and Processing, Respiratory Disease Classification, Lung Sounds, Lung Auscultation, Melspectrogram, Lightweight Inception Network

Relation: https://figshare.com/articles/preprint/RDsLINet_A_Novel_Lightweight_Inception_Network_For_Respiratory_Disease_Classification_Using_Lung_Sounds/21732272

Availability: https://doi.org/10.36227/techrxiv.21732272.v1

APPLICATION OF TARGET DETECTION ALGORITHM BASED ON DEEP LEARNING IN FARMLAND PEST RECOGNITION

Authors: Shi Wenxiu and Li Nianqiang

Subject Terms: Object detection algorithm, Faster R-CNN, Inception network

Relation: https://zenodo.org/records/3889762; oai:zenodo.org:3889762; https://doi.org/10.5281/zenodo.3889762

Availability: https://doi.org/10.5281/zenodo.3889762
https://zenodo.org/records/3889762

Abnormal events detection based on RP and inception network using distributed optical fiber perimeter system

Authors: Chengang Lyu Jianying Jiang Baihua Li et al.

Subject Terms: Optoelectronics & Photonics, Optical Physics, Electrical and Electronic Engineering, Other Engineering, Recurrent Plot, inception network, events detection, Distributed optical fiber sensing

Relation: 2134/12964901.v1; https://figshare.com/articles/journal_contribution/Abnormal_events_detection_based_on_RP_and_inception_network_using_distributed_optical_fiber_perimeter_system/12964901

Availability: https://figshare.com/articles/journal_contribution/Abnormal_events_detection_based_on_RP_and_inception_network_using_distributed_optical_fiber_perimeter_system/12964901