Zobrazeno 1 - 10
of 42 893
pro vyhledávání: '"A. SHOAIB"'
Publikováno v:
Journal of Stress Physiology & Biochemistry, Vol 18, Iss 1, Pp 40-46 (2022)
Spot blotch (SB), caused by Cochliobolus sativus is a common foliar disease of barley worldwide. The phytohormones jasmonic acid (JA) and salicylic acid (SA) play important functions in plant defense systems. However, the changes in JA and SA pathway
Externí odkaz:
https://doaj.org/article/14166432395f42db98d11daa58ca1a89
We investigate the phenomenology of scalar diquarks with sub-TeV masses within the framework of the $E_6$ Supersymmetric Standard Model (E$_6$SSM) at the Large Hadron Collider (LHC). Focusing on the lightest of the six diquarks predicted by the model
Externí odkaz:
http://arxiv.org/abs/2412.19445
Autor:
Yan, Kun, Bouraoui, Zied, Wei, Fangyun, Xu, Chang, Wang, Ping, Jameel, Shoaib, Schockaert, Steven
The aim of multi-label few-shot image classification (ML-FSIC) is to assign semantic labels to images, in settings where only a small number of training examples are available for each label. A key feature of the multi-label setting is that images of
Externí odkaz:
http://arxiv.org/abs/2412.13732
Autor:
Palni, Prabhakar, Sarkar, Amal, Das, Santosh K., Rathore, Anuraag, Shoaib, Syed, Khuntia, Arvind, Jaiswal, Amaresh, Roy, Victor, Panda, Ankit Kumar, Bagchi, Partha, Mishra, Hiranmaya, Biswas, Deeptak, Petreczky, Peter, Sharma, Sayantan, Pradhan, Kshitish Kumar, Scaria, Ronald, Sahu, Dushmanta, Sahoo, Raghunath, Das, Arpan, Mohapatra, Ranjita K, Nayak, Jajati K., Chatterjee, Rupa, Mustafa, Munshi G, R., Aswathy Menon K., Prasad, Suraj, Mallick, Neelkamal, Panday, Pushpa, Patra, Binoy Krishna, Deb, Paramita, Varma, Raghava, Dwibedi, Ashutosh, Win, Thandar Zaw, Nayak, Subhalaxmi, Aung, Cho Win, Ghosh, Sabyasachi, Vempati, Sesha, Singh, Sunny Kumar, Kurian, Manu, Chandra, Vinod, Banerjee, Soham, Sumit, Kumar, Rohit, Mondal, Rajkumar, Chaudhuri, Nilanjan, Roy, Pradip, Sarkar, Sourav, Kumar, Lokesh
The second Hot QCD Matter 2024 conference at IIT Mandi focused on various ongoing topics in high-energy heavy-ion collisions, encompassing theoretical and experimental perspectives. This proceedings volume includes 19 contributions that collectively
Externí odkaz:
http://arxiv.org/abs/2412.10779
A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis
Autor:
Arifuzzaman, Md., Ahmed, Iftekhar, Chowdhury, Md. Jalal Uddin, Sakib, Shadman, Rahman, Mohammad Shoaib, Hossain, Md. Ebrahim, Absar, Shakib
Chronic Kidney Disease (CKD) represents a significant global health challenge, characterized by the progressive decline in renal function, leading to the accumulation of waste products and disruptions in fluid balance within the body. Given its perva
Externí odkaz:
http://arxiv.org/abs/2412.09472
Autor:
Shen, Lingzhi, Long, Yunfei, Cai, Xiaohao, Razzak, Imran, Chen, Guanming, Liu, Kang, Jameel, Shoaib
Multimodal fake news detection often involves modelling heterogeneous data sources, such as vision and language. Existing detection methods typically rely on fusion effectiveness and cross-modal consistency to model the content, complicating understa
Externí odkaz:
http://arxiv.org/abs/2412.12164
Autor:
Ismagilov, Timur, Ferrarini, Bruno, Milford, Michael, Nguyen, Tan Viet Tuyen, Ramchurn, SD, Ehsan, Shoaib
Visual Place Recognition (VPR) in mobile robotics enables robots to localize themselves by recognizing previously visited locations using visual data. While the reliability of VPR methods has been extensively studied under conditions such as changes
Externí odkaz:
http://arxiv.org/abs/2412.07751
Adding a few atomic percent of Bi to III--V semiconductors leads to significant changes in their electronic structure and optical properties. Bismuth substitution on the pnictogen site leads to a large increase in spin-orbit splitting $\Delta_{\rm SO
Externí odkaz:
http://arxiv.org/abs/2411.19257
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
An important aspect of deploying face recognition (FR) algorithms in real-world applications is their ability to learn new face identities from a continuous data stream. However, the online training of existing deep neural network-based FR algorithms
Externí odkaz:
http://arxiv.org/abs/2411.13886
Although recent diffusion-based single-step super-resolution methods achieve better performance as compared to SinSR, they are computationally complex. To improve the performance of SinSR, we investigate preserving the high-frequency detail features
Externí odkaz:
http://arxiv.org/abs/2411.13548