日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Arsenic trioxide allosterically inhibits human telomerase, validated by in-silico and in-vitro cancer and non cancer cell lines

三氧化二砷通过变构作用抑制人端粒酶,这一结论已通过计算机模拟和体外癌细胞及非癌细胞系实验得到验证。

Chaudhary, Archana; Kumar, Rakesh; Kumari, Komal; Singh, Vijay Kumar; Ojha, Krishna Kumar; Kumar, Nitish; Prakash, Krishna; Ola, Mohammad Shamsul; Haque, Rizwanul

Harnessing chloroplast SSRs to decipher genetic diversity in underutilized Allium species

利用叶绿体SSR标记解析未充分利用的葱属植物的遗传多样性

Khade, Yogesh P; Mainkar, Pawan; Chandanshive, Aniket; Rai, Krishna Madhav; Sinhasane, Shalaka R; Jadhav, Manisha; Patil, Amol; Hembade, Vivekanand L; Radhakrishna, Auji; More, Sanket J; Khar, Anil; Bhandari, Hem Raj; Gupta, Amar Jeet; Kale, Rajiv B; Prakash, Krishna; Mahajan, Vijay

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments

用于密集城市环境中实时异常行为检测的多摄像头时空深度学习框架

Veesam, Sai Babu; Rao, B Tarakeswara; Begum, Zarina; Patibandla, R S M Lakshmi; Dcosta, Arvin Arun; Bansal, Shonak; Prakash, Krishna; Faruque, Mohammad Rashed Iqbal; Al-Mugren, K S

Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection

设计一种集成模型,该模型结合了时间图注意力机制和Transformer增强的循环神经网络,以增强异常检测能力。

Veesam, Sai Babu; Satish, Aravapalli Rama; Tupakula, Sreenivasulu; Chinnam, Yuvaraju; Prakash, Krishna; Bansal, Shonak; Faruque, Mohammad Rashed Iqbal

AER U-Net: attention-enhanced multi-scale residual U-Net structure for water body segmentation using Sentinel-2 satellite images

AER U-Net:一种基于注意力机制的多尺度残差U-Net结构,用于利用Sentinel-2卫星图像进行水体分割。

Jonnala, Naga Surekha; Siraaj, Shaik; Prastuti, Y; Chinnababu, P; Praveen Babu, B; Bansal, Shonak; Upadhyaya, Prashant; Prakash, Krishna; Faruque, Mohammad Rashed Iqbal; Al-Mugren, K S

DSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images

DSIA U-Net:基于注意力机制的深浅交互遥感卫星图像网络

Jonnala, Naga Surekha; Bheemana, Renuka Chowdary; Prakash, Krishna; Bansal, Shonak; Jain, Arpit; Pandey, Vaibhav; Faruque, Mohammad Rashed Iqbal; Al-Mugren, K S

Design and TCAD analysis of few-layer graphene/ZnO nanowires heterojunction-based photodetector in UV spectral region

基于少层石墨烯/ZnO纳米线异质结的紫外光谱区光电探测器的设计与TCAD分析

Bansal, Shonak; Kumar, Sandeep; Jain, Arpit; Rohilla, Vinita; Prakash, Krishna; Gupta, Anupma; Ali, Tanweer; Alenezi, Abdulmajeed M; Islam, Mohamed Shabiul; Soliman, Mohamed S; Islam, Mohammad Tariqul

Author Correction: Design and TCAD analysis of few-layer graphene/ZnO nanowires heterojunction-based photodetector in UV spectral region

作者更正:基于少层石墨烯/ZnO纳米线异质结的紫外光谱区光电探测器的设计和TCAD分析

Bansal, Shonak; Kumar, Sandeep; Jain, Arpit; Rohilla, Vinita; Prakash, Krishna; Gupta, Anupma; Ali, Tanweer; Alenezi, Abdulmajeed M; Islam, Mohamed Shabiul; Soliman, Mohamed S; Islam, Mohammad Tariqul

Sentiment classification for telugu using transformed based approaches on a multi-domain dataset

基于变换方法的泰卢固语情感分类在多领域数据集上的应用

Chattu, Kannaiah; Reddy, K Adi Narayana; Veesam, Sai Babu; Chirumamilla, Pardha Saradhi; Dinesh Babu, Vunnava; Prakash, Krishna; Bansal, Shonak; Faruque, Mohammad Rashed Iqbal; Al-Mugren, K S

Leveraging hybrid model for accurate sentiment analysis of Twitter data

利用混合模型对Twitter数据进行精准的情感分析

Jonnala, Naga Surekha; Ram Teja, A V S; Rajeswari, S Raja; Jakeer, Shaik; Dheeraj, Allamsetty; Bansal, Shonak; Prakash, Krishna; Singh, Shashank; Faruque, Mohammad Rashed Iqbal; Al-Mugren, K S