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| 1 | Measuring construction productivity: a practical approach显示文摘 | Jaideep Motwani Ashok Kumar Michael Novakoski | 1995 | Work Study1995，，8： | 1 |
| 2 | Diagnosis of cen- tral venous catheter-related bloodstream infection without catheter removal: A prospective observational study显示文摘 | Kumar A Sharma RM Jaideep CN | 2014 | Med J Armed Forces India2014，70，1： | 1 |
| 3 | A methodology for assessing time-based competitive advantage of manufacturing firms显示文摘 | Ashok Kumar Jaideep Motwani | 1995 | International Journal of Operations & Production Management1995，15，2： | 1 |
| 4 | Male breast tuberculosis 显示文摘 | Jaideep C Kumar M Khanna AK | 1997 | Postgrad Med J1997，73，861： | 1 |
| 5 | Diagnosis of central venous catheter-related bloodstream infection without catheter removal: A prospective observational study显示文摘 | Kumar A Sharma R M Jaideep C N | 2014 | Med J Armed Forces India2014，70，1： | 1 |
| 6 | Biological Significance of [^(14)C]Phenol Accumulation in Different Organs of a Murrel, Channa punctatus, and the Common Carp, Cyprinus carpio显示文摘Phenol, a ubiquitous component of industrial effluents, is a common pollutant of water resources and a serious threat to fish.The present work demonstrates that a significant amount of phenol is retained by various tissues of the common carp.Cyprinus carpio.and the snake-headed murrel.Channa punclatus.The rate of [14C] phenol accumulation was higher in the carp than in the murrel.It is suggested that retention of phenol in the brain and ovary may seriously afiect the reproductive potential of the fish. 1990 Academic Press.Inc. | DILIP MUKHERJEE DILIP MUKHERJEE SHELLEY BHATTACHARYA VINOD KUMAR JAIDEEP MOITRA | 1990 | Biomedical and Environmental Sciences1990，3，3： | 1 |
| 7 | Diagnosis of central venous catheter - related blood - stream infection without catheter removal : A prospective observational study显示文摘 | Kumar A Sharma RM Jaideep CN | 2014 | Med J Armed Forces India2014，70，1： | 1 |
| 8 | A methodology for assessing time-based competitive advantage of manufacturing firms显示文摘 | Ashok Kumar Jaideep Motwani | 1995 | International Journal of Operations & Production Management1995，15，2： | 1 |
| 9 | Certification Process of Imported Pacific White Shrimp Litopenaeus vannamei (Boone, 1931) at Aquatic Quarantine Facility, India显示文摘 | M. C. Remany DalyCyriac D. Kannanl, A. K. Panda Jaideep Kumar Y. C. Thampi Samraj | 2011 | Journal of Agricultural Science and Technology(B)2011，1，6： | 0 |
| 10 | Performance Analysis of Machine Learning Algorithms for Classifying Hand Motion-Based EEG Brain Signals显示文摘Brain-computer interfaces (BCIs) records brain activity using electroencephalogram (EEG) headsets in the form of EEG signals;these signals can berecorded, processed and classified into different hand movements, which can beused to control other IoT devices. Classification of hand movements will beone step closer to applying these algorithms in real-life situations using EEGheadsets. This paper uses different feature extraction techniques and sophisticatedmachine learning algorithms to classify hand movements from EEG brain signalsto control prosthetic hands for amputated persons. To achieve good classificationaccuracy, denoising and feature extraction of EEG signals is a significant step. Wesaw a considerable increase in all the machine learning models when the movingaverage filter was applied to the raw EEG data. Feature extraction techniques likea fast fourier transform (FFT) and continuous wave transform (CWT) were usedin this study;three types of features were extracted, i.e., FFT Features, CWTCoefficients and CWT scalogram images. We trained and compared differentmachine learning (ML) models like logistic regression, random forest, k-nearestneighbors (KNN), light gradient boosting machine (GBM) and XG boost onFFT and CWT features and deep learning (DL) models like VGG-16, DenseNet201 and ResNet50 trained on CWT scalogram images. XG Boost with FFTfeatures gave the maximum accuracy of 88%. | Ayman Altameem Jaideep Singh Sachdev Vijander Singh Ramesh Chandra Poonia Sandeep Kumar Abdul Khader Jilani Saudagar | 2022 | Computer Systems Science & Engineering2022，42，9： | 0 |
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