Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment by Swaminathan, Ramabadran, Madhukumar, A. S.

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Teaching feedback using blockchain and blind signature by Chandra, Billy

“…The privacy preservation methods used are decentralization through blockchain attribute, using pseudonyms and blind signature in the platform. In addition to the privacy preservation measures, the feedback is also auditable due to the distributed nature of a blockchain. …”
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Blind deconvolution algorithms for medical ultrasound imaging by Yeoh, Wee Soon

“…This thesis focuses on the development of novel blind deconvolution algorithms for medical ultrasound imaging. …”
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Blind quantum computing with trapped ions and single photons by Drmota, P

“…<p>Verifiable blind quantum computing enables a client to delegate computations while hiding their data and even the underlying algorithm from the cloud server. …”

Blind detection of interleaver parameters for non-binary coded sequence by He, Pan.

“…In a non-corporate context, blind estimation of inter-leaver parameters is extraordinarily important during the de-interleaving process. …”
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Blind equalization using neural networks and higher order statistics by Li, Rui.

“…Blind equalization has been one of the most active areas of research in recent years. …”
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Blind detection of interlever parameters for block and convolutional coded sequences by Liu, Xuezhe.

“…As in this situation, only the intercepted data is known. Blind detection of the interleaver period and the code rate becomes crucial.…”
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A study to minimize 'A'-pillar blind spot in cars by Choo, Daryl Gavin Jun Yan

“…This study investigates the effect of the A-pillar blind spot and what can be done to reduce or eliminate the blind spots. …”
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Recommended changes to standard of care for monitoring of cortically blind fields by Willis, HE, Cavanaugh, MR

Comparison of Machine Learning-Based Methods for Narrowband Blind Adaptive Beamforming by Shonkwiler, Lara

“…This information is normally found via array calibration. Blind source separation methods do not require this information and therefore are more robust to array calibration errors. …”
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Automated and Blind Detection of Low Probability of Intercept RF Anomaly Signals by Gusain, Kuanl, Hassan, Zoheb, Couto, David, Malek, Mai Abdel, Shah, Vijay K, Zheng, Lizhong, Reed, Jeffrey H.

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Blind recognition of LDPC code parameters over erroneous channel conditions by Ramabadran, Swaminathan, Madhukumar, A. S., Wang, Guohua, Ting, Shang Kee

“…Blind reconstruction of channel coding parameters plays a significant role in non-cooperative military and spectrum surveillance applications. …”
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Blind parameter estimation of turbo convolutional codes : noisy and non-synchronized scenario by Swaminathan, Ramabadran, Madhukumar, A. S.

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Blind drawing: investigation into screen location tracking for computer aided interactive drawing by Fernando, Sandra

“…One of the main problems faced by blind learners is lack of drawing technologies that support images and diagram drawing without the help of a sighted support worker. …”
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Image recognition tools for blind and visually impaired users: an emphasis on the design considerations by Fernando, Sandra, Ndukwe, Chiemela, Virdee, Bal Singh, Djemai, Ramzi

“…The existing digital image recognition technologies available for blind individuals are commercially accessible but still at an immature stage, necessitating enhancements in their capabilities. …”
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Blind image quality assessment with hierarchy : degradation from local structure to deep semantics by Wu, Jinjian, Zeng, Jichen, Dong, Weisheng, Shi, Guangming, Lin, Weisi

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Unveiling the enigma of blind box impulse buying curiosity: the moderating role of price consciousness by Gong, Xiyun, Yee, Choy Leong, Lee, Shin Yiing, Mohammad Saif, Abu Naser, Liu, Meilian, Anonthi, Fariah

“…This study explores the causes of curiosity-driven impulse buying in blind boxes using the Stimulus-Organism-Response (S-O-R) model and adaptation level theory. …”
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A lightweight handcrafted feature-based selective attention network for blind image quality assessment by Feng, HaoLin

“…This paper introduces a novel approach to Blind Image Quality Assessment (BIQA) by employing handcrafted features combined with a selective feature attention mechanism, drawing inspiration from the human visual system (HVS). …”
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Multicenter double-blind study evaluating AI-driven detection of proximal deep vein thrombosis by Curry, N, Allen, E, Silsby, L, Goodacre, S, Deane, C, Deary, A, Foster, A, Griffiths, J, Sharma, R, Thomas, H, Mischewitz, S, Al-Noor, F

“…This prospective, double-blind, test accuracy study was designed to test whether an artificial intelligence (AI)–guided software device (AutoDVT) could support nonradiology specialists to diagnose proximal DVT.…”

BLIQUE-TMI : blind quality evaluator for tone-mapped images based on local and global feature analyses by Jiang, Qiuping, Shao, Feng, Lin, Weisi, Jiang, Gangyi

“…To create a fair comparison of different TMOs, this paper proposes a BLInd QUality Evaluator to blindly predict the quality of Tone-Mapped Images (BLIQUE-TMI) without accessing the corresponding HDR versions. …”
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