<![CDATA[NUST Institutions Library Catalogue Search for 'an:"119645"']]>

<![CDATA[NUST Institutions Library Catalogue Search for 'an:"119645"']]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-search.pl?q=ccl=an%3A%22119645%22&format=rss 16 0 50 Functional sensitivity of Multiband Echo-planar imaging in subcortical region / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608518 By Ullah, Azmat . . 62p. ; 30cm..

Place Hold on Functional sensitivity of Multiband Echo-planar imaging in subcortical region /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608518 FNIRS DATA CLASSIFICATION FOR BRAIN COMPUTER INTERFACE USING DEEP LEARNING / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608586 By SUBHANI , AHMAD . . 67p. ; 30cm..

Place Hold on FNIRS DATA CLASSIFICATION FOR BRAIN COMPUTER INTERFACE USING DEEP LEARNING /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608586 Predicting Risk of Perinatal Depression and Anxiety Using Biomedical, Psychosocial & Socioeconomic Factors Through Machine Learning / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608639 By JAVED ,FAJAR. . 72p. ; 30cm..

Place Hold on Predicting Risk of Perinatal Depression and Anxiety Using Biomedical, Psychosocial & Socioeconomic Factors Through Machine Learning /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608639 Feature analysis for Intention Decoding in EMG Signals / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608680 By ARSHAD , AQSA . . 50p. ; 30cm..

Place Hold on Feature analysis for Intention Decoding in EMG Signals /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608680 Error Detection and Error Correction in Wireless Communication / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608684 By MEHMOOD ,FAHAD. . 80p. ; 30cm..

Place Hold on Error Detection and Error Correction in Wireless Communication /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608684 Brain Tumour Image Segmentation Using Deep Networks / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608735 By Ali ,Mahnoor . . 58p. ; 30cm..

Place Hold on Brain Tumour Image Segmentation Using Deep Networks /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608735 Investigation of Ablation Techniques for Different Types of Brain Tumors / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608823 By BINTE IRFAN ,MANAHIL . . 41p. ; 30cm..

Place Hold on Investigation of Ablation Techniques for Different Types of Brain Tumors /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608823 Intervertebral Disc Segmentation Using Machine Learning / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608824 By SAEED ,IQRA . . 55p. ; 30cm..

Place Hold on Intervertebral Disc Segmentation Using Machine Learning /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608824 Melanoma Detection Using Machine Learning / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608832 By FAROOQ SAEED ,MUHAMMAD . . 45p. ; 30cm..

Place Hold on Melanoma Detection Using Machine Learning /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608832 Prediction of Short-Term & Long-Term Video Memorability / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608876 By Ashiq ,Amna . . 52p. ; 30cm..

Place Hold on Prediction of Short-Term & Long-Term Video Memorability /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608876 Consistency based Semi-Supervised Learning for Table Detection / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608913 By Ahmad ,Afaq . . 69p. ; 30cm..

Place Hold on Consistency based Semi-Supervised Learning for Table Detection /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608913 Lung Tumor Image Segmentation from CT images using Deep Learning / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608962 By RIAZ ,ZAINAB . . 63p.; 30cm..

Place Hold on Lung Tumor Image Segmentation from CT images using Deep Learning /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608962 Observation of restricted diffusion pattern & extent on DWI/ADC sequences and mechanism of acute ischemic stroke on MRI brain involving different vascular territories / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608983 By Majeed ,Sana . . 71p. ; 30cm..

Place Hold on Observation of restricted diffusion pattern & extent on DWI/ADC sequences and mechanism of acute ischemic stroke on MRI brain involving different vascular territories /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=608983 Deep Learning for Improved Myoelectric Control/ ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=609553 By Rehman Muhammad Zia ur . . 132,p; 30,cm..

Place Hold on Deep Learning for Improved Myoelectric Control/

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=609553 DETECTION OF THYROID DISEASES USING MACHINE LEARNING TECHNIQUES/ ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=609554 By AKHTAR TEHSEEN. . 118,p; 30,cm;.

Place Hold on DETECTION OF THYROID DISEASES USING MACHINE LEARNING TECHNIQUES/

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=609554 Multimedia Analytics for Scene Content Understanding / ISBN: http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=615352 By ALI, HASNAIN . . 133p. , With the rapid expansion of video content, understanding how humans retain and recall visual data has become crucial. Memorability, a key neurocognitive process, plays a significant role in retaining and retrieving video content. While past research has explored image memorability, video memorability has received less attention, leaving a gap in robust computational models for predicting memorable video events. This thesis addresses this gap through a multi-phase study focused on video memorability prediction, scalable feature extraction, and behavior training for robotic systems. The first study introduces a novel framework that predicts episodic video memorability by fusing deep features, including text, color, and motion. Episodic sequences are generated using a Fuzzy FastText model and color histogram analysis, while scene objects are identified using a Faster Region-based Convolutional Neural Network (Faster R-CNN). The fusion of these features results in improved short- and long-term memorability, with a superior Spearman’s rank correlation of 0.6428 and 0.4285, respectively. The second study focuses on a robust Stacked Bin-Convolutional Neural Network (SB-CNN) and Sparse Low-Rank Regressor (SLRR) model. This model improves video event classification by employing a low-rank representation technique that reduces noise in video frames, leading to more accurate predictions. The Multi-Attribute Decision Making (MADM) technique is applied to enhance decision making, achieving a recall time of 49.9247 on public datasets. In the final study, a Trimmed Q-learning algorithm is introduced to optimize memorability-driven scene prediction in mobile robots. The training is conducted through online, short-term, and long-term learning modules, with significant improvements in memorability scores: 72.84% for short-term and online learning, and 68.63% for long-term learning. By linking these phases, this thesis presents an integrated framework that effectively addresses the challenges of video memorability prediction, robust feature scaling, and robotic decision-making, offering practical insights for both academic research and real-world applications. 30cm.

Place Hold on Multimedia Analytics for Scene Content Understanding /

]]> http://catalogue.nust.edu.pk:8081/cgi-bin/koha/opac-detail.pl?biblionumber=615352