Results 101 to 110 of about 26,920 (307)

Deep Supervised Hashing by Fusing Multiscale Deep Features for Image Retrieval

Information
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable ...
Adil Redaoui, Amina Belalia, Kamel Belloulata   +2 more
doaj   +1 more source

Enhancing Neural Stem Cell Proliferation Using Polyurethane/CNT Scaffolds Functionalized With Liposomal Hesperidin for Neural Tissue Engineering

Nano Select, EarlyView.
A multifunctional electrospun scaffold combining polyurethane, carbon nanotubes, and liposomal hesperidin supports neural stem cell survival, adhesion, and expansion. This platform enhances conductivity, mechanical strength, and hydrophilicity while mimicking the native neural environment.
Arman Abroumand Gholami, Amir Mahdi Molavi, Meshkat Omrannezhad, Tahere Mokhtari, Shokoufeh Rahmani, Payam Moharreri, Fatemeh Gheybi, Fatemeh Tahmasebi, Hamideh Babaloo   +8 more
wiley   +1 more source

Centripetal Intensive Deep Hashing for Remote Sensing Image Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the breakthrough of convolutional neural networks, deep hashing methods have demonstrated remarkable performance in large-scale image retrieval tasks.
Weigang Wang, Zhongwen Guo, Ziyuan Cui, Hailei Zhao, Lintao Xian   +4 more
doaj   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +1 more source

Quantifying Structural Complexity, Effort, and Performance: An Early Experiment Using Network Design Tasks

Systems Engineering, EarlyView.
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza, Joshua Sutherland, Marc‐Andre Chavy‐Macdonald, Olivier L. de Weck   +3 more
wiley   +1 more source

Robust Supervised Deep Discrete Hashing for Cross-Modal Retrieval

Technologies
The exponential growth of multi-modal data in the real world poses significant challenges to efficient retrieval, and traditional single-modal methods are no longer suitable for the growth of multi-modal data.
Xiwei Dong, Fei Wu, Junqiu Zhai, Fei Ma, Guangxing Wang, Tao Liu, Xiaogang Dong, Xiao-Yuan Jing   +7 more
doaj   +1 more source

Tumour‐informed workflow to use ctDNA as a biomarker for risk of recurrence in head and neck cancer patients post‐treatment

VIEW, EarlyView.
Our study presents a tumour‐informed circulating tumour DNA (ctDNA) workflow designed to enhance the detection of recurrence in head and neck cancer patients, addressing key challenges such as low ctDNA tumour fractions and tumour heterogeneity. Abstract Circulating tumour DNA (ctDNA) is a promising minimally invasive biomarker for monitoring treatment
Xiaomin Huang, Paul Leo, Mhairi Clout, Lynn Fink, Jonathan Ellis, Brett G. M. Hughes, Lizbeth Kenny, Sarju Vasani, Chamindie Punyadeera   +8 more
wiley   +1 more source

Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues [PDF]

, 2022
Pingping Liu, Zetong Liu, Shan Xue, Qiuzhan Zhou   +3 more
openalex   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Deep Self-Supervised Hashing With Fine-Grained Similarity Mining for Cross-Modal Retrieval

IEEE Access
With the efficiency of storage and retrieval speed, the hashing methods have attracted a lot of attention for cross-modal retrieval applications. In contrast to traditional cross-modal hashing by using handcrafted features, deep cross-modal hashing ...
Lijun Han, Renlin Wang, Chunlei Chen, Huihui Zhang, Yujie Zhang, Wenfeng Zhang   +5 more
doaj   +1 more source