Search Results - (( java implementation force algorithm ) OR ( effect perception study algorithm ))

Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim by Tuan Ibrahim, Tuan Nur Azlina

“…This study investigates public sentiment towards AI chatbots, recognizing the critical importance of understanding public perceptions for effective integration. …”
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali by Mohd Razali, Ainaa Farhanah

“…The results of the verification of the system algorithm on the simulated 3D areal surface topography of a sloped bumps shows that the system algorithm can effectively identified the edges features and segmented them following the shape partem of the surface features of the sloped bumps. …”
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Predicting Customer Behaviour on Buying Life Insurance using Machine Learning by Fabu Ayub A Ghafar, Norhana Abd Rahim, Yumn Suhaylah Yusoff

Digital Framing and Reputation Crisis: A TikTok Framing Analysis of the Yai Mim–Sahara Case in the Context of Communication by Abdul Manap, Novam Scorpiantrien

Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli by Zulkipeli, Alis Farhana

“…This study applies the Naive Bayes algorithm for sentiment analysis to assess public perceptions of childcare issues, particularly child abandonment and accidents. …”
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Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network by Zakaria, Norzaini

“…Comparative studies are examined between the result of the predictions from the ANN model trained with Multi-Layer Feed forward Perception, a Generalised Regressions Neural Network (GRNN) algorithm and the result obtained from traditional statistical approach.…”
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Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA by Phak Len, Eh Kan, Rafikha Aliana, Raof, Ahmad Nasir, Che Rosli, Razaidi, Hussin

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A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

“…Finally, the popular benchmarks available for developing and evaluating these algorithms are presented along with a comparative study on a different class of algorithms. …”
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

“…Risk perception refers to how individuals perceive objective risks. …”
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Advancing literary analysis with Python: a comprehensive study of simile detection and classification in the translation of Al-Abrat by Al Zahrawi, Rasha Talal, Syed Abdullah, Syed Nurulakla, Sarirete, Akila, Abdullah, Muhammad Alif Redzuan

“…Key findings reveal distinct patterns in simile usage, particularly the prevalence of perceptible-perceptible and cognitive-cognitive categories, emphasizing the role of figurative language in fostering thematic and emotional engagement. …”
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Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators by Arnone, K., Hutson, J., Woodruff, K.

“…AI already globally impacts individuals in critical and personal ways, and many industries will continue to experience disruptions as the full algorithmic effects are understood. However, with regard to education, adopting in disciplines remains limited largely to Computer Science and Information Technology in postsecondary education. …”
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A review on the treatments for monocular visual impairment for the development of a visual aid by Ravindran N., Mohamed H.

“…Investigations include reviewing the principle required to be embedded into the visual aid such as the distance and depth perception. Stereoscopic cameras and algorithms are also further discussed to interlink with the concepts of depth perception. …”

Prediction of the level of air pollution during wildfires using machine learning classification methods by Khalid, Syed Mohammed, Hassan, Raini

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Formulation of macro-micro safety predictors in high-rise construction sites based on dematel algorithm by Kang, Chun Xiang

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Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

“…Partial Least Squares Method (PLS) algorithm was used for testing of the study‘s hypotheses. …”
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Development of energy storage system for storing regenerative braking energy from train by Faizal Zamani, Dollah

“…In certain scenarios, the non-regenerative braking will be considered since the worst-case scenario is in the design parameter.In this study, and the train operating data are collected to ascertain the current perceptions of energy conservation to railway applications. …”
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Factors predicting health practitioners' awareness of UNHS program in Malaysian non-public hospitals by Ismail, Abdussalaam Iyanda, Abdul Majid, Abdul Halim, Zakaria, Mohd Normani, Abdullah, Nor Azimah Chew, Hamzah, Sulaiman, Mukari, Siti Zamratol-Mai Sarah

“…Objective :The current study aims to examine the effects of human resource (measured with the perception of health workers' perception towards UNHS), screening equipment, program layout and screening techniques on healthcare practitioners' awareness (measured with knowledge) of universal newborn hearing screening (UNHS) in Malaysian non-public hospitals. …”
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An enhance embedding method using edge and textures detection for image steganography by Al-Maliki, Alaa Jabbar Qasim

“…The study utilized differential operators and filters to detect edges and textures in images, where data embedding is less perceptible. …”
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Elicitation of conditional probability table (CPT) for risk analysis of biomass boiler in energy plant by Ahmad Nur Fikry, Zainuddin, Nurul Ain Syuhadah, Mohammad Khorri, Nurul Sa'aadah, Sulaiman, Alaw, Fares Ahmed

“…The formulation for boiler failures likelihood prediction that relies on experts’ perceptions was developed using the Weighted Sum Algorithm (WSA). …”
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Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends by Neetu, Sharma

“…Its practical implications are twofold: marketers can leverage these insights to enhance influencer selection and recommendation strategies, while policymakers and researchers gain a data-informed perspective to promote sustainable marketing practices. The study demonstrates that ML-augmented green influencer marketing can effectively elevate sustainability and commercial performance within the Indian e-commerce context.…”
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