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Research ArticleOpen accessEvery word in the titleEmpowering Small Language Models With Chain of Thought and Parameter Efficient Fine Tuning for Efficient Deep ReasoningAryan Raina, Shiwani Gupta, Jagruti Jadhav et al.Small Language Models (SLMs) run faster and fit on modest hardware, yet solving multi-step logic problems has traditionally been difficult for them. This work investigates a systematic, multi-model framework that combines Chain-of-Thought (CoT) prompting with Low-Rank Adaptation (LoRA) parameter-efficient fine-tuning, and measures the contribution of each component independently. We evaluate three SLMs (TinyLlama-1.1B, Phi-3-mini-4k-instruct, and Qwen2.5-1.5B) using 1,164 training samples … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 862 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParameter-Expanded Data Augmentation for Analyzing Nominal Data With Missing Values Using Multinomial Probit ModelsSuwash Silwal, Xiao ZhangNominal data occur in many scientific fields, such as health-related studies, transportation, and econometrics. Due to the ubiquitousness of missing data, it is inevitable to analyze nominal data with missing values. As is well known, statistical methods for analyzing nominal variables are quite limited. The Multinomial Probit (MNP) model has been an essential tool for analyzing nominal categorical data, but … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 23 May 2026 · 1,804 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWorking Process Analysis and Parameter Optimization of Millet Hill-Drop Seed Metering DeviceTao Chen, Shujuan Yi, Yifei LiDue to the small size, light weight, and impurities of millet, the existing seeders have poor quality when sowing millet, this study analyzed the working process of the pneumatic-mechanical combined seed metering device, established the equations of seed movement in the seed filling zone, seed cleaning up zone, seed carrying zone and seed dropping zone by dynamic theory. The theoretical … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 12 Aug 2023 · 6,508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWeather Parameters Impact on Daily COVID-19 Transmission in BangladeshMd. Humayun KabirCOVID-19 disease causes millions of human deaths and huge economic losses throughout the world. To limit the disease transmission numerous attempts have been made. Several studies observed associations of weather values on COVID-19 transmission. In the current study, the impacts of weather parameters on daily COVID-19 incidences have been examined in eight different cities in Bangladesh. For this purpose, a … …American Journal of Environmental Sciences, Vol. 19, Issue 3 · 30 Dec 2023 · 5,405 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParameter Optimization of Gradient Tree Boosting Using Dragonfly Algorithm in Crime Forecasting and AnalysisAlif Ridzuan Khairuddin, Nor Azizah Ali, Razana Alwee et al.Crime forecasting and analysis are very important in predicting future crime patterns and beneficial to the authorities in planning effective crime prevention measures. One of the challenges found in crime analysis is the crime data itself as its form, representation and distribution are varied and unpredictable. To handle such data, most researchers have been focusing on applying various Artificial Intelligence … …Journal of Computer Science, Vol. 15, Issue 8 · 7 Aug 2019 · 7,918 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParameter Calibration of Soil in the Poyang Lake Region Based on Discrete Element MethodBaoyu Zhu, Jun’an Liu, Xiongfei Chen et al.In order to obtain the soil parameters of Poyang Lake Region before direct seeding, the soil properties of Duchang County, Poyang County and Xinjian District recollected and the discrete element method model is established. The angle of repose of paddy soil is 53.00° tested by the lateral wall collapse method. Eleven parameters are used to establish EDEM simulation model with … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 4 · 16 Dec 2020 · 6,377 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalyzing the Groundwater Quality Parameters Using Frequency AnalysisMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. SinghWater quality problems are world spread as a result of land use changes and industrial development. Water deficit problems become more severe in result of water quality ignorance. Determining the probability values of water quality parameters for specific return periods could be very helpful in water resources management and conservation in terms of quality. In this research some water quality … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 14 Apr 2018 · 9,083 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCorrelations between Growth and Yield Parameters of Soybean (Glycine max (L.) Merr.) under the Influence of Bradyrhizobium japonicum in Kipushi (The Democratic Republic of Congo)Ben Tshibuyi Kasu-Bandi, Laurent Kidinda Kidinda, Germain Nyembo Kasendue et al.This study aimed to evaluate the correlations between different agronomic parameters and their contribution to soybean performance under Bradyrhizobium japonicum influence. The experiment was carried out at Kanyameshi (Kipushi), following a Split Plot design, with three strains of Bradyrhizobium japonicum (GraphExTM, Bradyrhizobium sp and Sojapak ® 50) and four soybean varieties (TGX 1740-7F: V1, PAN 1867: V2, TGX 1880-3E: V3 … …American Journal of Agricultural and Biological Sciences, Vol. 14, Issue 1 · 17 Aug 2019 · 8,212 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFuzzy Method for Online Learning of Bayesian Network ParametersMariana D.C. Lima, Silvia M. NassarIn learning problems, there are situations where training data is not fully available at the learning time. They are incrementally generated by time, defining a type of domain called online that has among its characteristics the possibility of data failure or even missing data. In Bayesian networks, learning is divided into two categories: structure (related to the graph of conditional … …Journal of Computer Science, Vol. 15, Issue 3 · 16 Mar 2019 · 7,498 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetermination of SVM-RBF Kernel Space Parameter to Optimize Accuracy Value of Indonesian Batik Images ClassificationAvinanta Tarigan, Dewi Agushinta, Adang Suhendra, Fikri BudimanImage retrieval using Support Vector Machine (SVM) classification verydepends on kernel function and parameter. Kernel function used by dot productsubstitution from old dimension feature to new dimension depends on imagedataset condition. In this research, parameter of Gaussian /Radial BasisFunction (RBF) kernel function is optimized using multi class non-linear SVMmethod and implemented to training and test datasets of traditional Indonesian batik … …Journal of Computer Science, Vol. 13, Issue 11 · 23 Oct 2017 · 7,530 accessesView PDFCite