Výsledky vyhledávání - "Proceedings of the IEEE"

Object Detection in 20 Years: A Survey Autor Zou, Zhengxia, Chen, Keyan, Shi, Zhenwei, Guo, Yuhong, Ye, Jieping

“…Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two…”
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A Comprehensive Survey on Transfer Learning Autor Zhuang, Fuzhen, Qi, Zhiyuan, Duan, Keyu, Xi, Dongbo, Zhu, Yongchun, Zhu, Hengshu, Xiong, Hui, He, Qing

“…Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related…”
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Training Spiking Neural Networks Using Lessons From Deep Learning Autor Eshraghian, Jason K., Ward, Max, Neftci, Emre O., Wang, Xinxin, Lenz, Gregor, Dwivedi, Girish, Bennamoun, Mohammed, Jeong, Doo Seok, Lu, Wei D.

“…The brain is the perfect place to look for inspiration to develop more efficient neural networks. The inner workings of our synapses and neurons provide a…”
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Toward Causal Representation Learning Autor Scholkopf, Bernhard, Locatello, Francesco, Bauer, Stefan, Ke, Nan Rosemary, Kalchbrenner, Nal, Goyal, Anirudh, Bengio, Yoshua

“…The two fields of machine learning and graphical causality arose and are developed separately. However, there is, now, cross-pollination and increasing…”
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6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities Autor Tataria, Harsh, Shafi, Mansoor, Molisch, Andreas F., Dohler, Mischa, Sjoland, Henrik, Tufvesson, Fredrik

“…Mobile communications have been undergoing a generational change every ten years or so. However, the time difference between the so-called "G's" is also…”
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A Unifying Review of Deep and Shallow Anomaly Detection Autor Ruff, Lukas, Kauffmann, Jacob R., Vandermeulen, Robert A., Montavon, Gregoire, Samek, Wojciech, Kloft, Marius, Dietterich, Thomas G., Muller, Klaus-Robert

“…Deep learning approaches to anomaly detection (AD) have recently improved the state of the art in detection performance on complex data sets, such as large…”
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Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Autor Samek, Wojciech, Montavon, Gregoire, Lapuschkin, Sebastian, Anders, Christopher J., Muller, Klaus-Robert

“…With the broader and highly successful usage of machine learning (ML) in industry and the sciences, there has been a growing demand for explainable artificial…”
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A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises Autor Zhou, S. Kevin, Greenspan, Hayit, Davatzikos, Christos, Duncan, James S., Van Ginneken, Bram, Madabhushi, Anant, Prince, Jerry L., Rueckert, Daniel, Summers, Ronald M.

“…Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging…”
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Model-Based Deep Learning Autor Shlezinger, Nir, Whang, Jay, Eldar, Yonina C., Dimakis, Alexandros G.

“…Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques. Such model-based methods utilize…”
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Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond Autor Zeng, Yong, Wu, Qingqing, Zhang, Rui

“…Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to bring fertile business opportunities in the next decade. Among various…”
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Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing Autor Zhou, Zhi, Chen, Xu, Li, En, Zeng, Liekang, Luo, Ke, Zhang, Junshan

“…With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications and services, spanning from…”
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Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey Autor Deng, Lei, Li, Guoqi, Han, Song, Shi, Luping, Xie, Yuan

“…Domain-specific hardware is becoming a promising topic in the backdrop of improvement slow down for general-purpose processors due to the foreseeable end of…”
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Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook Autor Davies, Mike, Wild, Andreas, Orchard, Garrick, Sandamirskaya, Yulia, Guerra, Gabriel A. Fonseca, Joshi, Prasad, Plank, Philipp, Risbud, Sumedh R.

“…Deep artificial neural networks apply principles of the brain's information processing that led to breakthroughs in machine learning spanning many problem…”
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Deep Learning With Edge Computing: A Review Autor Chen, Jiasi, Ran, Xukan

“…Deep learning is currently widely used in a variety of applications, including computer vision and natural language processing. End devices, such as…”
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Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models Autor Minerva, Roberto, Lee, Gyu Myoung, Crespi, Noel

“…Digital twin (DT) is an emerging concept that is gaining attention in various industries. It refers to the ability to clone a physical object (PO) into a…”
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Electric Drive Technology Trends, Challenges, and Opportunities for Future Electric Vehicles Autor Husain, Iqbal, Ozpineci, Burak, Islam, Md Sariful, Gurpinar, Emre, Su, Gui-Jia, Yu, Wensong, Chowdhury, Shajjad, Xue, Lincoln, Rahman, Dhrubo, Sahu, Raj

“…The transition to electric road transport technologies requires electric traction drive systems to offer improved performances and capabilities, such as fuel…”
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6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities Autor Noor-A-Rahim, Md, Liu, Zilong, Lee, Haeyoung, Khyam, Mohammad Omar, He, Jianhua, Pesch, Dirk, Moessner, Klaus, Saad, Walid, Poor, H. Vincent

“…We are on the cusp of a new era of connected autonomous vehicles with unprecedented user experiences, tremendously improved road safety and air quality, highly…”
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An Overview of Signal Processing Techniques for Terahertz Communications Autor Sarieddeen, Hadi, Alouini, Mohamed-Slim, Al-Naffouri, Tareq Y.

“…Terahertz (THz)-band communications are a key enabler for future-generation wireless communication systems that promise to integrate a wide range of…”
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Power System Stability With a High Penetration of Inverter-Based Resources Autor Gu, Yunjie, Green, Timothy C.

“…Inverter-based resources (IBRs) possess dynamics that are significantly different from those of synchronous-generator-based sources and as IBR penetrations…”
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Channel Estimation With Reconfigurable Intelligent Surfaces-A General Framework Autor Swindlehurst, A. Lee, Zhou, Gui, Liu, Rang, Pan, Cunhua, Li, Ming

“…Optimally extracting the advantages available from reconfigurable intelligent surfaces (RISs) in wireless communications systems requires estimation of the…”
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