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175 results for “Logistic”
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Research ArticleOpen accessEvery word in the titleLogistic Regression with Multi-Connected WeightsAvazjon Marakhimov Rakhimovich, Kabul Khudaybergenov Kadirbergenovich, Zahriddin Muminov Ishkobilovich, Kudaybergenov Jabbarbergen KadirbergenovichResults of current research in biological and cognitive science reveal that neuronal interactions predominantly depend on neurotransmitters for signaling and sending information between neurons. Furthermore, a specific neuron that is connected to the next neuron transmits or sends multiple neurotransmitters in parallel ways, where each neurotransmitter has specific functional roles. Based on these results, a new type of logistic regression … …Journal of Computer Science, Vol. 20, Issue 9 · 4 Jul 2024 · 5,059 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOrdinal Logistic Regression Analysis in Effective Teaching PracticesHongwei WangThe Association of College and University Educators (ACUE) course in effective teaching practices has been applied to an undergraduate mathematics class at Texas A and M International University (TAMIU) for the past two years (Spring 2022, Fall 2022 and Spring 2023). Practices such as ensuring equitable access to learning, embracing diversity in the classroom, providing useful feedback and teaching powerful … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 13 Feb 2024 · 6,056 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImplementation of a Logistic Map to Calculate the Bits Required for Digital Image Steganography Using the Least Significant Bit (LSB) MethodWikky Fawwaz Al Maki, Indra Bayu Muktyas, Samsul Arifin et al.The LSB method in steganography usually only uses the last bit or the last few bits that are the same for all pixels. This is very easy to solve by using a bitwise shift left operation so that the last bit becomes the leading bit (MSB). Some techniques combine steganography and cryptography through two different processes. In this study, a … …Journal of Computer Science, Vol. 19, Issue 6 · 11 May 2023 · 5,795 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThird-Party Logistic Selection for Logistic Aggregator Company using Multi-Criteria Decision MakingMuhammad Khakim Hidayad, Ditdit Nugeraha UtamaThe customer of AggregatorCompany for Logistics (ACL) faces a problem when creating an order in the aggregatorlogistics platform. They have difficulty making an order as there are a lot ofthird-Party Logistic (3PL) alternatives available but they do not have anyreferences for which 3PL they should select. This study helps the customer tochoose the best 3PL by determining the suitable criteria. … …Journal of Computer Science, Vol. 18, Issue 9 · 9 Sep 2022 · 5,804 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeeding by Logistic Feed (Mash, Silage, Pellet and Wafer) Compared with Conventional Feed on Physiological, Blood Biochemical and Body Weight Gain Recovery in Tropical Sheep Pasca TransportationYuli Retnani, Anuraga Jayanegara, Sazli Tutur Risyahadi et al.The process of transportation of animals from one to another area can lead to stress. Animals tend to reduce feed intake which then affects animal performance, so palatable feed is needed, with high energy content, and can speed up the body weight recovery process. This study aimed to evaluate the effect of logistic feed (mash, silage, pellet, and wafer) compared … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 2 · 25 Jul 2022 · 6,222 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Suggested Nonparametric Bivariate Logistic Density Estimator with Application on the Productivity of Egyptian Wheat during 2019/2020Samah M. Abo-El-HadidIn this study, the nonparametric standard logistic density estimator, introduced by Abo-El-Hadid (2018), is extended to the bivariate case. The multiplicative standard logistic distribution is used as a kernel function to derive the bivariate kernel estimator. The statistical properties of the resulting estimator are studied, which are: The asymptotic bias, variance, Mean Squared Error (MSE) and Integrated Mean Squared Error … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 27 May 2021 · 6,711 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,466 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison of Probit and Logistic Regression Models in the Analysis of Dichotomous OutcomesAmrutha Jose, Mariyamma Philip, Lavanya Tumkur Prasanna, M. ManjulaProbit and logistic regression models are members of the family of generalized linear models, used for estimating the functional relationship between the dichotomous dependent and independent variables. The current study is designed to find the performance of logistic and probit regression models in different conditions under multivariate normality. The objective of the study is to compare the performance of probit … …Current Research in Biostatistics, Vol. 10, Issue 1 · 26 Mar 2020 · 17,036 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison of Compertz and Logistic Models in Estimating the Growth of Leptin-Deficient (ob/ob) Mice and Wild-Type Mice Fed an In-House Prepared High-Fat DietAh Reum Son, Hyunwoong Jo, Kyu Ree Park, Beob Gyun KimThis experiment was conducted to growth curve models for leptin-deficient (ob/ob) and wild-type mice fed a meal-form High-Fat (HF) diet prepared in-house for over 120 weeks. Two hundred and twenty-four sets of Body Weight (BW) and age data were collected from ob/ob mice and 485 sets of data were collected from wild-type mice. All animals had free access to the … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 1 · 19 Jan 2019 · 7,682 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Cancer: Mesothelioma’s Disease Using Logistic Regression and Association RuleAvishek ChoudhuryMalignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about seventy-five percent of all mesothelioma diagnosed yearly in the United States of America. Being a fatal disease, early identification of MPM is crucial … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 7,224 accessesView PDFCite