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International Journal of Biometrics and Bioinformatics (IJBB)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 1985-2347
Published - Bi-Monthly   |   Established - 2007   |   Year of Publication - 2019

SUBMISSION
October 31, 2019

NOTIFICATION
November 30, 2019

PUBLICATION
December 31, 2019

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CITATION ANALYSIS

IJBB Citation Impact
(572 - 0) / 85 = 6.729

Refer to Citation Report for 2018 for complete details.
 

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CITATION REPORT FOR IJBB

Below calculations are based on in-process citations that are extracted through Google Scholar.


Total Citations = 572
Self Citations = 0
Total Publications = 85


Citation Impact
(Total Citations - Self Citations) / Total Publications

Citation Impact
(572 - 0) / 85 = 6.729

 
SR
M-CODE
CITATION
1
Shih, C. C., Horng, M. F., Pan, T. S., Pan, J. S., & Chen, C. Y. (2016). A genetic-based effective approach to path-planning of autonomous underwater glider with upstream-current avoidance in variable oceans. Soft Computing, 1-18.
2
Thakare, H. S., Meshram, D. B., Jangam, C. M., Labhasetwar, P., Roychoudhary, K., & Ingle, A. B. (2016). Comparative genomics for understanding the structure, function and sub-cellular localization of hypothetical proteins in Thermanerovibrio acidaminovorans DSM 6589 (tai). Computational biology and chemistry, 61, 226-228.
3
Dudakiya, S., Shaikh, A., Late, R. A., Galani, H., Thanki, D., & Pawar, S. E. Monitoring Mobile Patients Using Predictive Analysis By Data From Wearable Sensors.
4
Kermani, M. A. M. A., Badiee, A., Aliahmadi, A., Ghazanfari, M., & Kalantari, H. (2016). Introducing a procedure for developing a novel centrality measure (Sociability Centrality) for social networks using TOPSIS method and genetic algorithm. Computers in Human Behavior, 56, 295-305.
5
Shirazi, S. H., Umar, A. I., Naz, S., & Razzak, M. I. (2016). Efficient leukocyte segmentation and recognition in peripheral blood image. Technology and Health Care, (Preprint), 1-13.
6
Arabi, B. H. Solving NP-Complete Problems Using Genetic Algorithms.
7
TAN -like, country Xiao Yun , & Zhang Jiahua . ( 2016 ) . Culture using a genetic algorithm for TSP Based on Genetic Algorithms and technology vision , ( 5 ) , 62-64.
8
Shahab, M. L., & Irawan, M. I. (2016). Algoritma Genetika Ganda untuk Capacitated Vehicle Routing Problem. Jurnal Sains dan Seni ITS, 4(2).
9
Sheikh, B. Y. (2016). The role of prophetic medicine in the management of diabetes mellitus: A review of literature. Journal of Taibah University Medical Sciences.
10
Aprovitola, A., & Gallo, L. (2016). Knee bone segmentation from MRI: A classification and literature review. Biocybernetics and Biomedical Engineering.
11
Barcaru, A., & Vivó-Truyols, G. (2016). Use of Bayesian Statistics for Pairwise Comparison of Megavariate Data Sets: Extracting Meaningful Differences between GCxGC-MS Chromatograms Using Jensen–Shannon Divergence. Analytical chemistry, 88(4), 2096-2104.
12
Angadi, S. A., & Hatture, S. M. (2016). Biometric Person Identification System: A Multimodal Approach Employing Spectral Graph Characteristics of Hand Geometry and Palmprint. International Journal of Intelligent Systems and Applications, 8(3), 48.
13
Dong Chaoyang , Lu Yao , & Wang Qing . ( 2016 ) . Improved Genetic Algorithm for Firepower Distribution Optimization. Ordnance Technology, 37 ( 1 ) , 97-102.
14
Ooi, S. Y., Teoh, A. B. J., Pang, Y. H., & Hiew, B. Y. (2016). Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network. Applied Soft Computing, 40, 274-282.
15
KUMALASANTI, R. A. (2015).identifikasi dan verifikasi tanda tangan statik menggunakan backpropagation dan alihragam wavelet (Doctoral dissertation, UAJY).
16
Conejar, R. J., Jung, R., & Kim, H. K. (2015). The Mobility of Human Physiological Traits based on Biometrics Recognition Technology Applications.
17
Bhardwaj, A., Gupta, A., Jain, P., Rani, A., & Yadav, J. Classification of human emotions from EEG signals using SVM and LDA Classifiers.
18
Sanmukh, S. G., Khairnar, K., Khairnar, S., & Paunikar, W. N. Novel Applications of Bacterial and Algal Viruses in Advancement of Molecular Biology and for Enhancement of Bio-fuel Production.
19
princy, r., thamarai, p., & karthik, B. Denoising EEG Signal Using Wavelet Transform.
20
Sheoran, M., Kumar, S., & Chawla, S. (2015). Methods of denoising of electroencephalogram signal: a review. International Journal of Biomedical Engineering and Technology, 18(4), 385-395.
21
Bhairannawar, S. S., Anand, R., Raja, K. B., & Venugopal, K. R. (2015, January). FPGA Implementation of Fingerprint Recognition System using Adaptive Threshold Technique. In Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on (pp. 1-5). IEEE.
22
Widodo, A. W., & Harjoko, A. (2015). Sistem verifikasi tanda tangan off-line berdasar ciri histogram of oriented gradient (hog) dan histogram of curvature (HoC). Jurnal Teknologi Informasi dan Ilmu Komputer, 2(1).
23
Petrov , S. A. , Petrov SA , Petrov, S. O., Rudenko , P. O. Rudenko , RA , Rudenko, R. O., ... & Zhigulin , IV (2015 ) . Practicality vikoristannya method genetichnih algoritm?v for rozv'yazannya zadach? kom?voyazhera in geo?nformats?ynih systems.
24
Uc-Cetina, V., Brito-Loeza, C., & Ruiz-Piña, H. (2015). Chagas Parasite Detection in Blood Images Using AdaBoost. Computational and mathematical methods in medicine, 2015.
25
Somasekar, J., & Reddy, B. E. (2015). Segmentation of erythrocytes infected with malaria parasites for the diagnosis using microscopy imaging. Computers & Electrical Engineering.
26
DAS, D., Mukherjee, R., & Chakraborty, C. (2015). Computational microscopic imaging for malaria parasite detection: a systematic review. Journal of microscopy.
27
Razzak, I. (2015). Malarial Parasite Classification using Recurrent Neural Network. International Journal of Image Processing (IJIP), 9(2), 69.
28
Yeon, J., Kim, J. D., Park, C. Y., Kim, Y. S., & Song, H. J. (2015). Comparison of Grayscale Conversion Methods for Malaria Classification. International Journal of Bio-Science & Bio-Technology, 7(1).
29
Shirazi, S. H., Umar, A. I., Haq, N. U., Naz, S., & Razzak, M. I. (2015). Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation. In Bioinformatics and Biomedical Engineering (pp. 183-192). Springer International Publishing.
30
Razzak, M. I. (2015). Automatic Detection and Classification of Malarial Parasite. International Journal of Biometrics and Bioinformatics (IJBB), 9(1), 1.
31
Suresh, K., & Chellappan, C. Overview and Comparative Analysis of Human Face Detection Overview and Comparative Analysis of Human Face Detection.
32
Savuran, H., & Karakaya, M. (2015). Route Optimization Method for Unmanned Air Vehicle Launched from a Carrier. Heron, 40, 3300.
33
Razzak, I. (2015). Malarial Parasite Classification using Recurrent Neural Network. International Journal of Image Processing (IJIP), 9(2), 69.
34
Nithya, B., Sankari, Y. B., Manikantan, K., & Ramachandran, S. (2015). Discrete Orthonormal Stockwell Transform Based Feature Extraction for Pose Invariant Face Recognition. Procedia Computer Science, 45, 290-299.
35
Ahmed, Z. H. (2015). A multi-parent genetic algorithm for the quadratic assignment problem. OPSEARCH, 1-19.
36
Sahoo, S., & Erlich, I. (2015). Improved Mean Variance Mapping Optimization for the Travelling Salesman Problem. In Computational Intelligence in Data Mining-Volume 1 (pp. 67-75). Springer India.
37
Thanh, P. D., Binh, H. T. T., & Lam, B. T. (2015). New Mechanism of Combination Crossover Operators in Genetic Algorithm for Solving the Traveling Salesman Problem. In Knowledge and Systems Engineering (pp. 367-379). Springer International Publishing.
38
Varalakshmi, L. M., & Ramalingam, R. (2015). License Plate Character Recognition using Advanced Image Processing Techniques and Genetic Algorithm. International Journal, 3(4).
39
Bazazian, S., & Gavrilova, M. (2015). A Hybrid Method for Context-Based Gait Recognition Based on Behavioral and Social Traits. In Transactions on Computational Science XXV (pp. 115-134). Springer Berlin Heidelberg.
40
Conti, V., Militello, C., Sorbello, F., & Vitabile, S. (2015). Biometric sensors rapid prototyping on field-programmable gate arrays. The Knowledge Engineering Review, 30(02), 201-219.
41
da Costa, D. M., Passos, H., Peres, S. M., & de Lima, C. A. (2015). Um estudo comparativo das estratégias de fusão no nível de característica para Sistemas Biométricos Multimodais baseados em face e íris.
42
Singh, R., Pathak, B., & Fulekar, M. H. (2015). Characterization of PGP Traits by Heavy Metals Tolerant Pseudomonas putida and Bacillus safensis Strain Isolated from Rhizospheric Zone of Weed (Phyllanthus urinaria) and its efficiency in Cd and Pb Removal. Int. J. Curr. Microbiol. App. Sci, 4(7), 954-975.
43
Kim, J. W. (2015). Developing a job shop scheduling system through integration of graphic user interface and genetic algorithm. Multimedia Tools and Applications, 74(10), 3329-3343.
44
Potuzak, T. (2015, June). Sparsely synchronized parallel genetic algorithm for road traffic network division. In Human System Interactions (HSI), 2015 8th International Conference on (pp. 129-134). IEEE.
45
Satyananda, D. (2015).modification of crossover operator on ga application for tsp. In Proceeding of International Conference On Research, Implementation And Education Of Mathematics And Sciences 2015 (ICRIEMS 2015), Yogyakarta State University, 17-19 May 2015. Faculty of Mathematics and Sciences Yogyakarta State University.
46
Karthikeyini, C., & Rajamani, V. (2015). Study on Fingerprint Images Using Delaunay Patterns to Identify Hereditary Relations Among Family Members of Three Generations. In Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (pp. 431-440). Springer India.
47
Pushparaj, V., Arumugam, B., & Gurunathan, U. (2015). A variant approach for human forensic identification using dental radiographs with skeleton and contour. International Journal of Signal and Imaging Systems Engineering, 8(1-2), 59-67.
48
Gupta, S. K., & Jana, P. K. Energy Efficient Clustering and Routing Algorithms for Wireless Sensor Networks: GA Based Approach. Wireless Personal Communications, 1-21.
49
da Costa, D. M. M., Passos, H., Peres, S. M., & de Moraes Lima, C. A. (2015). A comparative study of feature level fusion strategies for Multimodal Biometric Systems based on Face and Iris.
50
Rao, I., & Hegde, K. Literature Survey On Travelling Salesman Problem Using Genetic Algorithms.
51
Varalakshmi, L. M., & Ramalingam, R. Recognition of License Plate Numbers Using Image Processing Technique and Genetic Algorithm.
52
Dogru, S., & Marques, L. (2015, April). Energy Efficient Coverage Path Planning for Autonomous Mobile Robots on 3D Terrain. In Autonomous Robot Systems and Competitions (ICARSC), 2015 IEEE International Conference on (pp. 118-123). IEEE.
53
Ahmed, Z. H. (2015). Experimental analysis of crossover and mutation operators on the quadratic assignment problem. Annals of Operations Research, 1-19.
54
Radhimeenakshi, S., & Nasira, G. M. Prediction of Heart Disease using Neural Network with Back Propagation.
55
Biswas, P., Barman, B., & Mukhopadhyay, A. (2015). Construction of Co-expression and Co-regulation Network with Differentially Expressed Genes in Bone Marrow Stem Cell Microarray Data. In Information Systems Design and Intelligent Applications (pp. 761-769). Springer India.
56
Utomo, D. B., Irawan, M. I., & Shahab, M. L. (2015). Algoritma Genetika Ganda (AGG) untuk Capacitated Vehicle Routing Problem (CVRP). In PROSIDING SEMINAR NASIONAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA. Jurusan Pendidikan Matematika FMIPA UNY.
57
Vera, D. F., Cadena, D. M., & Ramirez, J. M. (2015, September). Iris recognition algorithm on BeagleBone Black. In Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 IEEE 8th International Conference on (Vol. 1, pp. 282-286). IEEE.
58
Mishra, S., & Mishra, D. (2015). Adaptive multi-classifier fusion approach for gene expression dataset based on probabilistic theory. Journal of the Korean Statistical Society, 44(2), 247-260.
59
Almoeirfi, M. (2015). Classification Approaches for Microarray Gene Expression Data Analysis (Doctoral dissertation, Laurentian University Sudbury).
60
Satpathy, R., Konkimalla, V. B., & Ratha, J. (2015). Propensity based classification: Dehalogenase and non-dehalogenase enzymes. Journal of AI and Data Mining, 3(2), 209-215.
61
Kaushik, V. D., & Gupta, P. (2015, September). An Efficient Fingerprint Minutiae Detection Algorithm. In Security in Computing and Communications: Third International Symposium, SSCC 2015, Kochi, India, August 10-13, 2015. Proceedings (Vol. 536, p. 186). Springer.
62
Tiwari, K., Tiwari, G., & Gupta, P. (2015, January). Extraction of high confidence minutiae points from fingerprint images. In Computer and Computational Sciences (ICCCS), 2015 International Conference on (pp. 238-243). IEEE.
63
De, B., Bhandari, K., Singla, R. K., Katakam, P., Samanta, T., Kushwaha, D. K., ... & Mitra, A. (2015). Chemometrics optimized extraction procedures, phytosynergistic blending and in vitro screening of natural enzyme inhibitors amongst leaves of Tulsi, Banyan and Jamun. Pharmacognosy Magazine, 11(44), 522.
64
Firdhouse, M. J., & Lalitha, P. (2015). Maestro 9.4 as a Tool in the Structure Based Screening of Glycoalkaloids and Related Compounds, Targeting Aldose Reductase. Trends in Bioinformatics, 8(1), 26.
65
Al-Zubi, R. T., Darabkh, K. A., & Al-Zubi, N. (2015). Effect of Eyelid and Eyelash Occlusions on a Practical Iris Recognition System: Analysis and Solution. International Journal of Pattern Recognition and Artificial Intelligence, 29(08), 1556016.
66
Abdullah, M. A., Chambers, J. A., Woo, W. L., & Dlay, S. S. (2015). Iris Biometric: Is the Near-Infrared Spectrum always the Best?.
67
Ahmed, Z. H. (2015, July). An improved genetic algorithm using adaptive mutation operator for the quadratic assignment problem. In Telecommunications and Signal Processing (TSP), 2015 38th International Conference on (pp. 1-5). IEEE.
68
Petrov , S. A. , Petrov SA , Petrov, S. O., Rudenko , P. O. Rudenko , RA , Rudenko, R. O., ... & Zhigulin , IV (2015 ) . Practicality vikoristannya method genetichnih algoritm?v for rozv'yazannya zadach? kom?voyazhera in geo?nformats?ynih systems.
69
Stolarski, P. Metoda ekstrakcji modeli wyceny skladki ubezpieczeniowej ze zródel internetowych.
70
Potuzak, T. (2015, August). Distributed/Parallel Genetic Algorithm for Road Traffic Network Division Using Step Parallelization. In Engineering of Computer Based Systems (ECBS-EERC), 2015 4th Eastern European Regional Conference on the (pp. 67-74). IEEE.
71
Kang, S., Kim, S. S., Won, J. H., & Kang, Y. M. (2015, August). Bidirectional Constructive Crossover for Evolutionary Approach to Travelling Salesman Problem. In IT Convergence and Security (ICITCS), 2015 5th International Conference on (pp. 1-4). IEEE.
72
He Hong , SUN & Root years ( 2015 ) based on the teaching and learning optimization algorithm Intelligent optimization tours Shaanxi Institute of Technology : Natural Science , 31 ( 1 ) , 72-78.
73
Dogru, S., & Marques, L. (2015, September). Towards fully autonomous energy efficient Coverage Path Planning for autonomous mobile robots on 3D terrain. In Mobile Robots (ECMR), 2015 European Conference on (pp. 1-6). IEEE.
74
Hussin, Z. B. (2015). Incorporating Reliability of Anchors for Proximity-based Mobile Localization in Wireless Sensor Networks.
75
Schemeleva, K., Delorme, X., & Dolgui, A. (2015). A memetic algorithm for a stochastic lot-sizing and sequencing problem. IFAC-PapersOnLine, 48(3), 1809-1814.
76
Merkel, R. (2015, May). Latent Fingerprint Aging from a Hyperspectral Perspective: First Qualitative Degradation Studies Using UV/VIS Spectroscopy. In IT Security Incident Management & IT Forensics (IMF), 2015 Ninth International Conference on (pp. 121-135). IEEE.
77
REDDY, K. V. S., & PASHA, S. J. (2015). Support Vector Machine (SVM) Based Age Estimation using Multi-Linear Principal Component Analysis (MPCA).
78
Perner, P. (2015). Cognitive Aspects of Object Recognition–Recognition of Objects by Texture. Procedia Computer Science, 60, 391-402.
79
Hani, A. F. M., Kumar, D., Malik, A. S., Ahmad, R. M. K. R., Razak, R., & Kiflie, A. (2015). Non-invasive and in vivo assessment of osteoarthritic articular cartilage: a review on MRI investigations. Rheumatology international, 35(1), 1-16.
80
Gupta, U., Sinha, P., & Chharia, P. (2015, January). Reduction of genuine and imposter score overlapping based on intra-class variations and deviation of scores in a multimodal biometrie system. In Signal Processing And Communication Engineering Systems (SPACES), 2015 International Conference on (pp. 126-131). IEEE.
81
Duyck, J., Finn, C., Hutcheon, A., Vera, P., Salas, J., & Ravela, S. (2015). Sloop: A pattern retrieval engine for individual animal identification. Pattern Recognition, 48(4), 1059-1073.
82
Tarare, S., Anjikar, A., & Turkar, H. (2015, February). Fingerprint Based Gender Classification Using DWT Transform. In Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on (pp. 689-693). IEEE.
83
Marasco, E., & Cukic, B. (2015, May). Privacy protection schemes for fingerprint recognition systems. In SPIE Defense+ Security (pp. 94570D-94570D). International Society for Optics and Photonics.
84
Panis, G., Lanitis, A., Tsapatsoulis, N., & Cootes, T. F. (2015). Overview of research on facial ageing using the FG-NET ageing database. IET Biometrics.
85
Sahu, S., Rao, A. P., & Mishra, S. T. (2015). comparision between neural network and adaptive neuro-fuzzy inference system (anfis) results in determination of gender using fingerprints.
86
Abdulkader, S. N., Atia, A., & Mostafa, M. S. M. (2015). Brain computer interfacing: Applications and challenges. Egyptian Informatics Journal, 16(2), 213-230.
87
Ahmad, J., Malik, A. S., Abdullah, M. F., Kamel, N., & Xia, L. (2015). A novel method for vegetation encroachment monitoring of transmission lines using a single 2D camera. Pattern Analysis and Applications, 18(2), 419-440.
88
Hani, A. F. M., Kumar, D., Malik, A. S., Walter, N., Razak, R., & Kiflie, A. (2015). Multinuclear MR and Multilevel Data Processing: An Insight into Morphologic Assessment of In Vivo Knee Articular Cartilage. Academic radiology, 22(1), 93-104.
89
Al-Hudhud, G., Alarfag, E., Alkahtani, S., Alaskar, A., Almashari, B., & Almashari, H. (2015, February). Web-based multimodal biometric authentication application. In Information Technology: Towards New Smart World (NSITNSW), 2015 5th National Symposium on (pp. 1-6). IEEE.
90
Adebiyi, S. O., Oyatoye, E. O., & Kuye, O. L. (2015). An Analytic Hierarchy Process Analysis: Application to Subscriber Retention Decisions in the Nigerian Mobile Telecommunications. International Journal of Management and Economics, 48(1), 63-83.
91
Mahajan, V., Misra, R., & Mahajan, R. (2015). Review of Data Mining Techniques for Churn Prediction in Telecom. Journal of Information and Organizational Sciences, 39(2), 183-197.
92
Bassiouni, M., Khalefa, W., El-Dahshan, E. S. A., & Salem, A. B. M. (2015). A study on the Intelligent Techniques of the ECG-based Biometric Systems.Recent advances in electrical engineering, 26.
93
Olonitola, O. S., Fahrenfeld, N., & Pruden, A. (2015). Antibiotic resistance profiles among mesophilic aerobic bacteria in Nigerian chicken litter and associated antibiotic resistance genes. Poultry science, 94(5), 867-874.
94
Al-Qazzaz, N. K., Hamid Bin Mohd Ali, S., Ahmad, S. A., Islam, M. S., & Escudero, J. (2015). Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task. Sensors, 15(11), 29015-29035.
95
Chaudhari, J. P., Dixit, V. V., Patil, P. M., & Kosta, Y. P. (2015). Multimodal biometric-information fusion using the Radon transform. Journal of Electronic Imaging, 24(2), 023017-023017.
96
Kambli, P., & Lingaraju, G. M. Robot Control using Brain Waves.
97
Mohanchandra, K., Saha, S., & Lingaraju, G. M. (2015). EEG Based Brain Computer Interface for Speech Communication: Principles and Applications. In Brain-Computer Interfaces (pp. 273-293). Springer International Publishing.
98
Joon, M. D., & Kikon, M. S. An analytical approach towards Offline Handwritten Signatures Verification using Wavelets transforms and other relevant techniques.
99
Salem, H., Attiya, G., & El-Fishawy, N. (2015, December). Gene expression profiles based Human cancer diseases classification. In 2015 11th International Computer Engineering Conference (ICENCO) (pp. 181-187). IEEE.
100
Chiroma, H., Abdul-kareem, S., Ibrahim, U., Ahmad, I. G., Garba, A., Abubakar, A., ... & Herawan, T. (2015).malaria severity classification through jordan-elman neural network based on features extracted from thick blood SMEAR.Neural Network World, 25(5), 565.
101
Sahu, O., Anand, V., Kanhangad, V., & Pachori, R. B. (2015). Classification of magnetic resonance brain images using bi-dimensional empirical mode decomposition and autoregressive model. Biomedical Engineering Letters, 5(4), 311-320.
102
Celik, N., Manivannan, N., Balachandran, W., & Kosunalp, S. (2015). Multimodal Biometrics for Robust Fusion Systems using Logic Gates.
103
Nath, S., & Pawria, A. Image Enhancement Techniques in Spatial Domain using Face based matching techniques.
104
Selvakumar, M., & Nedumaran, D. (2015). Implementation of modified polar complex moments–based fingerprint orientation estimation for effective segmentation. International Journal of Biometrics, 7(1), 45-68.
105
Celik, N., Manivannan, N., Balachandran, W., & Kosunalp, S. (2015). Multimodal Biometrics for Robust Fusion Systems using Logic Gates.
106
Prabu, U., Priyadharshini, G., Saranya, M., Parveen, N. R., Shanmugam, M., & Amudhavel, J. (2015, March). Efficient personal identification using multimodal biometrics. In Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on (pp. 1-5). IEEE.
107
Zahedi, M., & Ghadi, O. R. (2015). Combining Gabor filter and FFT for fingerprint enhancement based on a regional adaption method and automatic segmentation. Signal, Image and Video Processing, 9(2), 267-275.
108
Sankareswari, K. (2014). A Comparative Study on Biometric System Authentication Security and Usability. International Journal, 1(2).
109
Amir, B. (2014). Face Analysis, Description and Recognition using Improved Local Binary Patterns in One Dimensional Space. Journal of Control Engineering and Applied Informatics, 16(4), 52-60.
110
Kaushik, A. (2014). M. Tech. Thesis (Doctoral dissertation, punjab technical university).
111
Esan, O. A., Zuva, T., Ngwira, S., & Masupa, L. mitigating face biometric on electronic medical record.
112
Teng, C., Zhang, Y., & Wang, G. (2014, August). The removal of EMG artifact from EEG signals by the multivariate empirical mode decomposition. In Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on (pp. 873-876). IEEE.
113
John Chriisttopher, A. (2014). Multiibiometric human recognition system fusion of face palmprint and touchless fingerpriint traits.
114
Li, T., Wen, P., & Jayamaha, S. (2014). Anaesthetic EEG signal denoise using improved nonlocal mean methods. Australasian Physical & Engineering Sciences in Medicine, 37(2), 431-437.
115
Al-Qazzaz, N. K., Ali, S. H. B., Ahmad, S. A., Chellappan, K., Islam, M. S., & Escudero, J. (2014). Role of EEG as Biomarker in the Early Detection and Classification of Dementia. The Scientific World Journal, 2014.
116
Prinza, L., Mohanalin, J., Beenamol, M., & Joshy, P. V. (2014). Denoising Performance of Complex Wavelet Transform with Shannon Entropy and its Impact on Alzheimer Disease EEG Classification Using Neural Network. Journal of Medical Imaging and Health Informatics, 4(2), 186-196.
117
Verma, R., & Kaur, R. (2014). An efficient technique for character recognition using neural network and SURF feature extraction. Int. J. Comput. Sci. Inf. Technol, 5, 1995-1997.
118
Krishna, P., & Murali, N. (2014). A Dimensionality Reduced Iris Recognition System with Aid of AI Techniques. Global Journal of Researches In Engineering, 14(4).
119
Mishra, P., & Singla, S. K. (2014). Electroencephalogram based biometric framework using time and frequency domain features. Journal of Medical Imaging and Health Informatics, 4(4), 593-599.
120
Kedari, A., Deshmane, S., Gaikwad, A., & Dhote, B. L. (2014). Iris Recognition System for Secure Authentication. International Journal of Emerging Trends in Science and Technology, 1(03).
121
Poornima, S., & Subramanian, S. (2014). Unconstrained iris authentication through fusion of RGB channel information. International Journal of Pattern Recognition and Artificial Intelligence, 28(05), 1456010.
122
Amien, M. B., & Japir, T. E. K. A Reliable Arrhythmias-Recognition Scheme Via Wavelet and Multiclass Support Vector Machine.
123
Davalbhakta, S. K. (2014). Read Overlap Detection in De Novo Assembly (Doctoral dissertation, department of computer engineering and information technology, college of engineering, pune).
124
Wandelt, S., Bux, M., & Leser, U. (2014). Trends in genome compression. Current Bioinformatics, 9(3), 315-326.
125
Zainudin, F. L., Mahamad, A. K., Saon, S., & Yahya, M. N. (2014, August). Comparison between GLCM and modified Zernike moments for material surfaces identification from photo images. In Computational Science and Technology (ICCST), 2014 International Conference on (pp. 1-4). IEEE.
126
Amin, A. E., & Elgamal, A. F. (2014). Performance Improvement for Fingerprint Recognition System using Shape and Orientation Descriptors. International Journal of Advanced Research in Computer Science, 5(8).
127
Kasban, H., & Authority, A. E. (2014). An Accurate and Fast Automatic Fingerprints Verification Technique.
128
Bhadane, M. V. R., Deshpande, M. V., & Mishra, M. P. 2D Fingerprint Matching using Multi-dimensional Artificial Neural Networks.
129
Saleh, I. A., & Alzoubiady, L. M. (2014). Decision Level Fusion of Iris and Signature Biometrics for Personal Identification using Ant Colony Optimization. International Journal of Engineering and Innovative Technology (IJEIT), 3(11), 35-42.
130
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