Research ArticleOpen accessIn the author namesDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the author namesSECURING MOBILE ANT AGENT USING CHINESE REMAINDER THEOREMSrinath Doss, Janet JeyarajRecent days, research in wireless network becomes major area for the past few decades. In wireless routing many routing methods such as table driven, source driven; many characteristics such as reactive routing, proactive routing; many routing algorithms such as dijikstra’s shortest path, distributed bell-man ford algorithm are proposed in the literature. For effective wireless routing, the recent ant colony optimization … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,560 accessesView PDFCite
Research ArticleOpen accessIn the author namesMass Classification in Digital Mammograms based on Discrete Shearlet TransformJ. Amjath Ali, J. JanetThe most significant health problem in the world is breast cancer and early detection is the key to predict it. Mammography is the most reliable method to diagnose breast cancer at the earliest. The classification of the two most findings in the digital mammograms, micro calcifications and mass are valuable for early detection. Since, the appearance of the masses are … …Journal of Computer Science, Vol. 9, Issue 6 · 1 Jun 2013 · 6,549 accessesView PDFCite
Research ArticleOpen accessIn the author namesHair Lead Bio-Monitoring Among School Children in the Province of Cavite, PhilippinesJanet P. Macawile, Glenn L. Sia SuAirborne lead is one of the pressing environmental problems that cause neuropsychological impairments to people who are exposed to it. In assessing people’s exposure to airborne lead, bio-monitoring techniques has been used as an indicator of chemical exposure. This study aims to determine the hair lead concentrations among school children in the province of Cavite and compare the hair lead … …American Journal of Environmental Sciences, Vol. 8, Issue 6 · 22 Jan 2013 · 7,034 accessesView PDFCite