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N
Naresh Kumar Nagwani
department of computer science and engineering
22
H指数
171
论文数
1.8K
被引数
0
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16
发表时间
发表时间
IF
被引数
A review on the effectiveness of recent approaches to few-shot learning for image analysis
关于图像分析中最近少样本学习方法有效性的综述
Applied Intelligence
IF
3.5
2025-08-08
0
PRE
AI
Deepak Suresh Asudani; Naresh Kumar Nagwani; Pradeep Singh
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Deep learning-based modeling of stakeholders preferences and balancing through multi-objective optimization in a multi-stakeholder recommendation system
基于深度学习对多利益相关者推荐系统中利益相关者偏好的建模与平衡,并通过多目标优化实现。
Engineering Applications of Artificial Intelligence
IF
8
2025-08-04
0
PRE
AI
Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani
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An extensive bibliometric analysis of artificial intelligence techniques from 2013 to 2023
2013年至2023年人工智能技术的广泛文献计量分析
JOURNAL OF SUPERCOMPUTING
IF
2.7
2025-02-24
1
PRE
AI
Bajpai, Aditi; Yadav, Sonal; Nagwani, Naresh Kumar
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Multi-stakeholder recommendation system through deep learning-based preference evaluation and aggregation model with multi-view information embedding
基于深度学习的偏好评估和多视图信息嵌入聚合模型的多利益相关者推荐系统
INFORMATION PROCESSING & MANAGEMENT
IF
6.9
2024-11-01
1
PRE
AI
Shrivastava, Rahul; Sisodia, Dilip Singh; Nagwani, Naresh Kumar
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Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature (Feb, 10.1007/s11042-024-18533-0, 2024)
MULTIMEDIA TOOLS AND APPLICATIONS
IF
3
2024-03-11
0
OA
AI
Gupta, Supriya; Sharaff, Aakanksha; Nagwani, Naresh Kumar
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Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure
APPLIED SOFT COMPUTING
IF
6.6
2024-01-01
0
PRE
AI
Panda, Rama Ranjan; Nagwani, Naresh Kumar
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A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets
MULTIMEDIA TOOLS AND APPLICATIONS
IF
3
2023-12-13
1
PRE
AI
Asudani, Deepak Suresh; Nagwani, Naresh Kumar; Singh, Pradeep
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Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning
基于深度神经网络的多利益相关者推荐系统,利用多标准评分进行偏好学习
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2023-03-01
15
PRE
AI
Shrivastava, Rahul; Sisodia, Dilip Singh; Nagwani, Naresh Kumar
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Impact of word embedding models on text analytics in deep learning environment: a review
深度学习环境下词嵌入模型对文本分析的影响
ARTIFICIAL INTELLIGENCE REVIEW
IF
13.9
2023-02-22
42
OA
AI
Asudani, Deepak Suresh; Nagwani, Naresh Kumar; Singh, Pradeep
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Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature
使用基于神经模糊的机器学习方法和序列增强特征对未知蛋白质序列进行功能表征
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2022-11-01
0
PRE
AI
Agrawal, Saurabh; Sisodia, Dilip Singh; Nagwani, Naresh Kumar
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An optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations
PATTERN RECOGNITION LETTERS
IF
3.3
2022-07-01
9
PRE
AI
Shrivastava, Rahul; Sisodia, Dilip Singh; Nagwani, Naresh Kumar; Roy, Upendra B. P.
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A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification
使用特征提取和分类在基于Ryu控制器的软件定义网络中检测DDoS攻击的框架
APPLIED INTELLIGENCE
IF
3.5
2022-06-07
17
PRE
AI
Chouhan, Ravindra Kumar; Atulkar, Mithilesh; Nagwani, Naresh Kumar
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Multivariate Beta Mixture Model for Automatic Identification of Topical Authoritative Users in Community Question Answering Sites
IEEE ACCESS
IF
3.6
2016-01-01
20
OA
AI
Sahu, Tirath Prasad; Nagwani, Naresh Kumar; Verma, Shrish
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Folksonomy Based Trend Analysis on Community Question Answering Sites: A Perspective on Software Technologies
IEEE ACCESS
IF
3.6
2016-01-01
4
OA
AI
Singh, Abhishek K.; Sena, Debasish; Nagwani, Naresh K.; Pandey, Sudhakar
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Selecting Best Answer: An Empirical Analysis on Community Question Answering Sites
IEEE ACCESS
IF
3.6
2016-01-01
23
OA
AI
Sahu, Tirath Prasad; Nagwani, Naresh Kumar; Verma, Shrish
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A Comment on A Similarity Measure for Text Classification and Clustering
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IF
10.4
2015-09-01
22
PRE
AI
Nagwani, Naresh Kumar
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研究方向
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合作学者
合作期刊
P
Pradeep Singh
H 指数: 22 · 论文数: 167
A
Aakanksha Sharaff
H 指数: 18 · 论文数: 96
S
Shrish Verma
H 指数: 17 · 论文数: 138
S
Sudhakar Pandey
H 指数: 17 · 论文数: 214
T
Tirath Prasad Sahu
H 指数: 14 · 论文数: 75
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