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Research ArticleOpen accessIn the abstractNovel Depression Classification Framework Using Optimal Feature Integration with Hybrid Convolution (1D/3D) Based Adaptive Residual DenseNetB. Manjulatha, Suresh PabbojuThis study introduces a novel depression classification method by incorporating multimodal data to reduce this limitation and improve the accuracy of depression diagnosis. In the beginning, the multimodal data such as speech signal, Electroencephalographic (EEG), and text data is obtained from the benchmark datasets. These acquired text data are subjected to the text pre-processing phase, where the stemming, character removal, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 5,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractCustomized Named Entity Recognition Using Bert for the Social Learning Management System Platform CourseNetworkingKayal Padmanandam, KVN Sunitha, Behafarid Mohammad Jafari et al.Named Entity Recognition (NER) is an information extraction task and one of the most researched applications to extract knowledge from massive data. Conventional NER systems identify predefined entities like name, person, location, organization, time, etc. However, there is a limitation to identifying user-defined entities that are specific to an application. This challenge introduces the concept of customized NER. For instance, … …Journal of Computer Science, Vol. 20, Issue 1 · 15 Dec 2023 · 6,985 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomating a Festo Manufacturing Machine with an Allen-Bradley PLCPraneel Chand, Joven SepulvedaIndustry equipment such as machinery utilising Programmable Logic Controllers (PLCs) become outdated and obsolete over time. Support for older machines and controllers becomes limited and they become incompatible with new computer operating systems. In the end, they are no longer used by industry. However, obsolete machines can be refurbished and used for teaching or demonstration purposes. Hence, this study presents … …Journal of Mechatronics and Robotics, Vol. 5, Issue 1 · 26 Nov 2021 · 7,047 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time SeriesSaugat Aryal, Dheynoshan Nadarajah, Prabath Lakmal Rupasinghe et al.Financial time series prediction has been a key topic of interest among researchers considering the complexity of the domain and also due to its significant impact on a wide range of applications. In contrast to one-step ahead prediction, multi-step forecasting is more desirable in the industry but the task is more challenging. In recent days, advancement in deep learning has … …Journal of Computer Science, Vol. 16, Issue 10 · 27 Oct 2020 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHROUGHPUT AND BIT ERROR RATE ANALYSIS OF LUBY TRANSFORM CODES WITH LOW AND MEDIUM NODAL DEGREE DISTRIBUTIONSI. Joe Louis Paul, S. Radha, J. RajaThis study presents two degree distributions namely low and medium nodal degree distributions aiming to build a low overhead Luby Transform (LT) codes. The motivation is to design a fast encoder/decoder especially for real-time multimedia streaming and multicasting applications using LT codes. The key idea of this study is to restrict the average degree of the transmitted encoded symbols as … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 12 Aug 2014 · 6,614 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of IEEE 802.16d using Forward Error CorrectionVenkatesh Sekar, V. Palanisamy, K. BaskaranProblem statement: Worldwide Interoperability for Microwave Access is the broadband wireless technology for terrestrial broadcast services in Metropolitan Area Networks. This BWA technology is based on Orthogonal Frequency Division Multiplex (OFDM) technology and considers the radio frequency range up to 2-11 GHz and 10-66 GHz. The objective of this research work is the performance analysis of AWGN, SUI-1 and SUI-2 … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 7,336 accessesView PDFCite
Research ArticleOpen accessIn the abstractA VISION-BASED TRAVELLED DISTANCE ESTIMATION ALGORITHM IN AN INDOOR ENVIRONMENT USING A MOBILE ROBOTMamadou Diop, Chot Hun Lim, Tien Sze Lim, Lee-Yeng OngAutonomous navigation for a mobile robot still remains as a challenging area to be explored. In an indoor environment, while GPS is unavailable and wheel encoder suffer from error accumulation due to wheel slips, vision-based travelled distance estimation can be considered as an alternative approach for more accurate measurements. This study presents a new algorithm to estimate travelled distance of … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 8,700 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Joint Degree Distribution (JDD) in Luby Transform CodesI. Joe Louis Paul, S. Radha, J. RajaLuby Transform (LT) codes, the first realization of rateless codes are widely used in wireless communication mainly for its adaptability to varying channel conditions and its capacity approaching performance. In spite of the above advantages and its simplicity in implementation, LT codes suffer from a bottle neck of premature termination due to the poor design of degree distribution. In this … …Journal of Computer Science, Vol. 11, Issue 1 · 13 Aug 2014 · 7,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractMODULATION IDENTIFICATION AND HAMMING ENCODING TECHNIQUE IMPLEMENTED IN SOFTWARE-DEFINED RADIOS. Ravi, M. Anand, S. Leones Sherwin Vimalraj, V. KannanIn SDR, it is advantageous if the data is transmitted using the best among the various modulation techniques with respect to SNR. The receiver has the ability to automatically identify the modulation technique and demodulate it. This process involves a novel method where a pilot sequence helps in identifying the type of modulation at the receiver. Ten modulation techniques are … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 8 Feb 2014 · 6,888 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultichannel Cognitive Cross Layer Optimization for Improved Video TransmissionMeenakshi Murugappan, Manimekalai Thirunavukkarasu, Maneesha S. MohanMultimedia applications particularly real-time video transmission in wireless networks, envisions end to end user perceived video quality as an important QoS parameter to be achieved. Cognitive Radio promising efficient spectrum utilization combined with Cross layer optimization is seen as a powerful combination to achieve the desired video quality. This study proposes Optimal Channel Sensed Multichannel Cognitive MAC (OCSM-CMAC), a QoS … …Journal of Computer Science, Vol. 9, Issue 1 · 6 Feb 2013 · 7,199 accessesView PDFCite