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A systematic survey of data mining and big data analysis in internet of things
Y Zhong, L Chen, C Dan, A Rezaeipanah - The Journal of …, 2022 - Springer
Abstract The Internet of Things (IoT) is an emerging paradigm that offers remarkable
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
Gait recognition in the wild with dense 3d representations and a benchmark
Existing studies for gait recognition are dominated by 2D representations like the silhouette
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
The shape of chromatin: insights from computational recognition of geometric patterns in Hi-C data
The three-dimensional organization of chromatin plays a crucial role in gene regulation and
cellular processes like deoxyribonucleic acid (DNA) transcription, replication and repair. Hi …
cellular processes like deoxyribonucleic acid (DNA) transcription, replication and repair. Hi …
Classification of contrasting discrete emotional states indicated by EEG based graph theoretical network measures
The present study shows new findings that reveal the high association between emotional
arousal and neuro-functional brain connectivity measures. For this purpose, contrasting …
arousal and neuro-functional brain connectivity measures. For this purpose, contrasting …
THFuse: An infrared and visible image fusion network using transformer and hybrid feature extractor
Infrared and visible image fusion aims to integrate complementary information from different
types of images into one image. The existing image fusion methods are primarily based on …
types of images into one image. The existing image fusion methods are primarily based on …
UID2021: An underwater image dataset for evaluation of no-reference quality assessment metrics
Achieving subjective and objective quality assessment of underwater images is of high
significance in underwater visual perception and image/video processing. However, the …
significance in underwater visual perception and image/video processing. However, the …
Hybrid watermarking algorithm for medical images based on digital transformation and MobileNetV2
The current study presents a new methodology for zero watermarking that relies on the
discrete wavelet transform (DWT) and an improved MobileNetV2 convolutional neural …
discrete wavelet transform (DWT) and an improved MobileNetV2 convolutional neural …
[HTML][HTML] Coordinate-Aware Mask R-CNN with Group Normalization: A underwater marine animal instance segmentation framework
Unsustainable fishing, driven by bycatch and discards, harms marine ecosystems.
Addressing this, we propose a Coordinate-Aware Mask R-CNN (CAM-RCNN) method to …
Addressing this, we propose a Coordinate-Aware Mask R-CNN (CAM-RCNN) method to …
Contrastive graph learning long and short-term interests for POI recommendation
Modeling users' short-term dynamic and long-term static interests to enhance Point-of-
Interests (POI) recommendation performance has shown lots of advantages. Since users' …
Interests (POI) recommendation performance has shown lots of advantages. Since users' …
Em-trans: Edge-aware multimodal transformer for rgb-d salient object detection
RGB-D salient object detection (SOD) has gained tremendous attention in recent years. In
particular, transformer has been employed and shown great potential. However, existing …
particular, transformer has been employed and shown great potential. However, existing …