Items where Author is "Abolghasemi, Vahid"

Modanlou Jouybari, Mehrasa and Alireza, Tajary and Mansoor, Fateh and Abolghasemi, Vahid (2024) A novel deep neural network structure for software fault prediction. PeerJ Computer Science, 10. e2270-e2270. DOI https://doi.org/10.7717/peerj-cs.2270

Vijayakanthan, G and Vaishali, R and Abolghasemi, Vahid (2024) Detection of Tea Leaf Diseases Using Deep Transfer Learning. In: 2024 Moratuwa Engineering Research Conference (MERCon), 2024-08-08 - 2024-08-10, Moratuwa, Sri Lanka.

Jarrahi, Mohammad Amin and Bourtsoulatze, Eirina and Abolghasemi, Vahid (2024) DCS-JSCC: Leveraging Deep Compressed Sensing into JSCC for Wireless Image Transmission. In: IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2024-09-10 - 2024-09-13, Lucca, Italy. (In Press)

Jarrahi, Mohammad Amin and Bourtsoulatze, Eirina and Abolghasemi, Vahid (2024) Rate-Adaptive Joint Source Channel Coding Using Deep Block-based Compressed Sensing. In: IEEE 26th International Workshop on Multimedia Signal Processing, 2024-10-02 - 2024-10-04, Purdue University, West Lafayette, IN, USA. (In Press)

Phoemsuk, Atitaya and Abolghasemi, Vahid (2024) Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network. In: IEEE Conference on Artificial Intelligence (IEEE CAI), 2024-06-25 - 2024-06-27, Singapore.

Jarrahi, Mohammadamin and Bourtsoulatze, Eirina and Abolghasemi, Vahid (2024) Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method. In: 2024 IEEE Wireless Communications and Networking Conference (WCNC), 2024-04-21 - 2024-04-24, Dubai, UAE.

Wu, Jiayi and Abolghasemi, Vahid and Anisi, Mohammad Hossein and Dar, Usman and Ivanov, Andrey and Newenham, Chris (2024) Strawberry Disease Detection through an Advanced Squeeze-and-Excitation Deep Learning Model. IEEE Transactions on AgriFood Electronics, 2 (2). pp. 259-267. DOI https://doi.org/10.1109/TAFE.2024.3412285

Fateh, Amirreza and Tahmasbi Birgani, Reza and Fateh, Mansoor and Abolghasemi, Vahid (2024) Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer Learning. IEEE Access, 12. pp. 41381-41395. DOI https://doi.org/10.1109/ACCESS.2024.3378598

Bazghandi, Reza and Hoseintabar Marzebali, Mohammad and Abolghasemi, Vahid (2024) Enhanced Multi-Synchro-Squeezing Transform for Fault Diagnosis in Induction Machine Based on Third-Order Energy Operator of Stator Current Signature. IEEE Access, 12. pp. 41056-41065. DOI https://doi.org/10.1109/ACCESS.2024.3378601

Khajeha, Hamid Reza and Fateh, Mansoor and Abolghasemi, Vahid (2024) Diagnosis of Glaucoma using Multi-Scale Attention Block in Convolution Neural Network and Data Augmentation Techniques. Engineering Reports, 6 (10). DOI https://doi.org/10.1002/eng2.12866

Hajnayeb, Saeed and Hoseintabar Marzebali, Mohammad and Abolghasemi, Vahid and Faiz, Jawad (2024) Broken Rotor Bar Fault Detection of Induction Machine based on Rectified Orthogonal Axes Technique of Stator Current. IEEE Transactions on Instrumentation and Measurement, 73. pp. 1-13. DOI https://doi.org/10.1109/tim.2024.3476552 (In Press)

Fateh, Amirreza and Fateh, Mansoor and Abolghasemi, Vahid (2023) Enhancing optical character recognition: Efficient techniques for document layout analysis and text line detection. Engineering Reports, 6 (9). DOI https://doi.org/10.1002/eng2.12832

Wu, Jiayi and Dar, Usman and Anisi, Mohammad Hossein and Abolghasemi, Vahid and Wilkin, Chris Newenham and Wilkin, Andrey Ivanov (2023) Plant Disease Detection: Electronic System Design Empowered with Artificial Intelligence. In: 2023 IEEE Conference on AgriFood Electronics (CAFE), 2023-09-25 - 2023-09-27, Torino, Italy.

Singh, Sumit Kumar and Abolghasemi, Vahid and Anisi, Mohammad Hossein (2023) Fuzzy Logic with Deep Learning for Detection of Skin Cancer. Applied Sciences, 13 (15). p. 8927. DOI https://doi.org/10.3390/app13158927

Bazghandi, Reza and Hoseintabar Marzebali, Mohammad and Abolghasemi, Vahid and Hedayati Kia, Shahin (2023) A Novel Mode Un-Mixing Approach in Variational Mode Decomposition for Fault Detection in Wound Rotor Induction Machines. Energies, 16 (14). p. 5551. DOI https://doi.org/10.3390/en16145551

Dar, Usman and Anisi, Mohammad Hossein and Abolghasemi, Vahid and Newenham, Chris and Ivanov, Andrey (2023) Visual sensor network based early onset disease detection for strawberry plants. In: 2023 IEEE Applied Sensing Conference (APSCON), 2023-01-23 - 2023-01-25, Bengaluru, India.

Ghonchi, Hamidreza and Abolghasemi, Vahid (2022) A Dual Attention-based Auto-encoder Model For Fetal ECG Extraction From Abdominal Signals. IEEE Sensors Journal, 22 (23). pp. 22908-22918. DOI https://doi.org/10.1109/JSEN.2022.3213586

Bamdad, Mahdi and Mokri, Chiako and Abolghasemi, Vahid (2022) Joint mechanical properties estimation with a novel EMG-based knee rehabilitation robot: A machine learning approach. Medical Engineering and Physics, 110. p. 103933. DOI https://doi.org/10.1016/j.medengphy.2022.103933

Marzebali, Mohammad Hoseintabar and Abolghasemi, Vahid and Ferdowsi, Saideh and Bazghandi, Reza (2022) Manipulation of stator current signature for rotor asymmetries fault diagnosis of wound rotor induction machine. IET Science, Measurement & Technology, 16 (9). pp. 523-532. DOI https://doi.org/10.1049/smt2.12126

Marzebali, Mohammad Hoseintabar and Bazghandi, Reza and Abolghasemi, Vahid (2022) Rotor Asymmetries Faults Detection in Induction Machines under the Impacts of Low-Frequency Load Torque Oscillation. IEEE Transactions on Instrumentation and Measurement, 71. pp. 1-11. DOI https://doi.org/10.1109/tim.2022.3201950

Bazghandi, Reza and Marzebali, Mohammad Hoseintabar and Abolghasemi, Vahid (2022) Asymmetrical Fault Detection in Induction Motors through Elimination of Load Torque Oscillations Effects in the Slight Speed Variations and Steady-state Conditions. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 4 (3). pp. 725-733. DOI https://doi.org/10.1109/jestie.2022.3204485

Ameri, Rasoul and Alameer, Ali and Ferdowsi, Saideh and Nazarpour, Kianoush and Abolghasemi, Vahid (2022) Labeled projective dictionary pair learning: application to handwritten numbers recognition. Information Sciences, 609. pp. 489-506. DOI https://doi.org/10.1016/j.ins.2022.07.070

Singh, Sumit Kumar and Abolghasemi, Vahid and Anisi, Mohammad Hossein (2022) Skin Cancer Diagnosis Based on Neutrosophic Features with a Deep Neural Network. Sensors, 22 (16). p. 6261. DOI https://doi.org/10.3390/s22166261

Abadi, Mohammad Reza Qasemian Reyhan and Marzebali, Mohammad Hoseintabar and Abolghasemi, Vahid and Anisi, Mohammad Hossein (2022) High-Voltage Pulse Generators for Electroporation Applications: A Systematic Review. IEEE Access, 10. pp. 64933-64951. DOI https://doi.org/10.1109/access.2022.3184015

Mokri, Chiako and Bamdad, Mahdi and Abolghasemi, Vahid (2022) Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques. Medical and Biological Engineering and Computing, 60 (3). pp. 683-699. DOI https://doi.org/10.1007/s11517-021-02466-z

Abolghasemi, Vahid and Marzebali, Mohammad Hoseintabar and Ferdowsi, Saideh (2022) Recursive Singular Spectrum Analysis for Induction Machines Unbalanced Rotor Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 71. pp. 1-11. DOI https://doi.org/10.1109/tim.2021.3129492

Fateh, Amirreza and Fateh, Mansoor and Abolghasemi, Vahid (2021) Multilingual handwritten numeral recognition using a robust deep network joint with transfer learning. Information Sciences, 581. pp. 479-494. DOI https://doi.org/10.1016/j.ins.2021.09.051

Ghaffari, Aboozar and Kafaee, Mahdi and Abolghasemi, Vahid (2021) Smooth non-negative sparse representation for face and handwritten recognition. Applied Soft Computing, 111. p. 107723. DOI https://doi.org/10.1016/j.asoc.2021.107723

Abolghasemi, Vahid and Anisi, Mohammad Hossein (2021) Compressive Sensing for Remote Flood Monitoring. IEEE Sensors Letters, 5 (4). pp. 1-4. DOI https://doi.org/10.1109/lsens.2021.3066342

Jalali, Yeganeh and Fateh, Mansoor and Rezvani, Mohsen and Abolghasemi, Vahid and Anisi, Mohammad Hossein (2021) ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation. Sensors, 21 (1). p. 268. DOI https://doi.org/10.3390/s21010268

Ferdowsi, Saideh and Ognibene, Dimitri and Foulsham, Tom and Abolghasemi, Vahid and Li, Wen and Citi, Luca (2020) Human Chemosignals Modulate Interactions Between Social and Emotional Brain Areas. In: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020-10-26 - 2020-10-28, Cincinnati, OH, USA.

Ghonchi, Hamidreza and Fateh, Mansoor and Abolghasemi, Vahid and Ferdowsi, Saideh and Rezvani, Mohsen (2020) Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals. IET Signal Processing, 14 (3). pp. 142-153. DOI https://doi.org/10.1049/iet-spr.2019.0297

Amiri, Mahmood and Ahmadyfard, Alireza and Abolghasemi, Vahid (2019) A fast video super resolution for facial image. Signal Processing: Image Communication, 70. pp. 259-270. DOI https://doi.org/10.1016/j.image.2018.10.008

Ferdowsi, Saideh and Abolghasemi, Vahid (2018) Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification. IEEE Transactions on Biomedical Engineering, 65 (8). pp. 1717-1724. DOI https://doi.org/10.1109/tbme.2017.2770088

Nazari Siahsar, Mohammad Amir and Gholtashi, Saman and Abolghasemi, Vahid and Chen, Yangkang (2017) Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning. Signal Processing, 141. pp. 309-321. DOI https://doi.org/10.1016/j.sigpro.2017.06.017

Dong, Yue and Lin, Hungyen and Abolghasemi, Vahid and Gan, Lu and Zeitler, J Axel and Shen, Yao-Chun (2017) Investigating Intra-Tablet Coating Uniformity With Spectral-Domain Optical Coherence Tomography. Journal of Pharmaceutical Sciences, 106 (2). pp. 546-553. DOI https://doi.org/10.1016/j.xphs.2016.09.021

Javaran, Taiebeh Askari and Hassanpour, Hamid and Abolghasemi, Vahid (2017) Non-blind image deconvolution using a regularization based on re-blurring process. Computer Vision and Image Understanding, 154. pp. 16-34. DOI https://doi.org/10.1016/j.cviu.2016.09.013

Ameri, Rasool and Pouyan, Ali and Abolghasemi, Vahid (2016) Projective dictionary pair learning for EEG signal classification in brain computer interface applications. Neurocomputing, 218. pp. 382-389. DOI https://doi.org/10.1016/j.neucom.2016.08.082