Search Results - (( its relationship model algorithm ) OR ( web application rsa algorithm ))

Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges by Abubakar, Adamu, Jabaka, Shehu, Tijani, Bello Idrith, Zeki, Akram M., Chiroma, Haruna, Usman, Mohammed Joda, Raji, Shakirat, Mahmud, Murni

“…Prior research studies have shown that RSA algorithm is very successful in protecting enterprises commercial services and systems as well as web servers and browsers to secure web traffic. …”
Get full text
Get full text
Get full text
Get full text

Designing a new E-Commerce authentication framework for a cloud-based environment by Sawesi K.G.A., Jali M.Z., Madihah Mohd Saudi

Digitally signed electronic certificate for workshop / Azinuddin Baharum by Baharum, Azinuddin

“…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
Get full text
Get full text

Visual analysis to investigate the capability of ANFIS in modelling hydrological relationship using synthetic dataset by Ngahzaifa, Ab. Ghani, Zuriani, Mustaffa, Zafril Rizal, M Azmi

“…ANFIS (Adaptive Neuro Fuzzy Inference System), for its advantages of having linguistic representation of models has been the interests of both hydrological operational modellers and scientists/theorists. …”
Get full text
Get full text
Get full text

Neural network for rainfall runoff modelling by Hafiz Fadillah, Alhadi

“…The advantage of neural network lies in its ability to represent both linear and non-linear relationships and also its ability to learn these relationships directly from the data being modelled. …”
Get full text
Get full text

Adaptive Spiral Dynamics Metaheuristic Algorithm for Global Optimisation with Application to Modelling of a Flexible System by Ahmad Nor Kasruddin, Nasir, Raja Mohd Taufika, Raja Ismail, Tokhi, M. O.

“…This paper presents a nature-inspired metaheuristic algorithm namely linear adaptive spiral dynamics algorithm (LASDA) and its application to modelling of a flexible system. …”
Get full text
Get full text
Get full text
Get full text

Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
Get full text
Get full text
Get full text

The effect of job satisfaction on the relationship between organizational culture and organizational performance by Imran, Muhammad

Get full text
Get full text
Get full text
Get full text

Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti by Abd Mokti, Nurnazifah

“…The model's interpretability and ease of use contribute to its practical applicability. …”
Get full text
Get full text

Solving fuzzy-facilities layout problem using genetic algorithm by Purnomo, Muhammad Ridwan Andi, Mandiri, Amalia Ramadhana, Hassan, Azmi

Get full text
Get full text
Get full text

Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment by Awangku Faizal Sallehin, Awangku Brahim

Get full text
Get full text
Get full text

SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA by AHMED IZZELDIN, HUZAIFA TAWFEIG

“…MLPs gained an immense attention due to its simplicity, good generalization and its ability to capture complex relationships between variables via a series of input-output measurements. …”
Get full text
Get full text

Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil by Jamil, Nur Syafiqah

“…As the most important features towards transaction price, building security made the largest contribution to the Multiple Linear Regression Model. Meanwhile, experiments using five common algorithms, Random Forest Regressor Model outperforms four (4) other algorithms in predicting the price of green building condominium, by training and validating the data-set using Split approach. …”
Get full text
Get full text

Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm by Nurin Alya, Haris

“…The evaluation of the prediction model demonstrates its accuracy, precision, recall, and F1 score, demonstrating its capacity to identify potential cheaters in PUBG encounters. …”
Get full text
Get full text
Get full text

Improving robustness of artificial neural networks model using genetic algorithm by Ahmad, Arshad, Chen, Wah Sit

Get full text
Get full text

Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

Get full text
Get full text

Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali by Mohd Razali, Farah Nabila

“…The results indicate that financial instability and poor communication are the most prevalent issues, with the overall sentiment being predominantly negative. The model's performance was evaluated using accuracy, precision, recall, and F1-score, demonstrating its reliability in sentiment classification. …”
Get full text
Get full text

Modified ACS centroid memory for data clustering by Jabbar, Ayad Mohammed, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

“…The key component that governs the search process in this algorithm is the management of its memory model. In contrast to other algorithms, ACO explicitly utilizes an adaptive memory, which is important to its performance in terms of producing optimal results. …”
Get full text
Get full text
Get full text

Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids by Chiaverini, Luca, Macdonald, David W., Hearn, Andrew J., Kaszta, Zaneta, Ash, Eric, Bothwell, Helen M., Can, Ozgun Emre, Channa, Phan, Clements, Gopalasamy Reuben *, Haidir, Iding Achmad, Kyaw, Pyae Phyoe, Moore, Jonathan H., Rasphone, Akchousanh, Tan, Cedric Kai Wei, Cushman, Samuel A.

“…Two of the most frequently applied algorithms to model species-habitat relationships are Generalised Linear Models (GLM) and Random Forest (RF). …”
Get full text
Get full text

Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging by Christian, Hans, Suhartono, Derwin, Chowanda, Andry, Kamal Z., Zamli

“…Firstly, these algorithms take a long time to train the model owing to its sequential inputs. …”
Get full text
Get full text
Get full text