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332 articles for “randomization”
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Effect of 940-nm Low-Level Laser Therapy on Tooth Movement Rate during Orthodontic Treatment: A Split-Mouth Double-Blind Randomized-Controlled Trial
Abstract: This study aimed to evaluate the effect of low-level laser with wavelength of 940 nm on acceleration of orthodontic tooth movement. Materials and Methods: This study was a double-blind randomized-controlled trial with split-mouth design. Fifty-five patients whose four first premolars were extracted for orthodontic treatment were randomly allocated to group A (n = 27) and group B (n = 28). Canine retraction was performed using the force of 150 g …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 3, 2024 · pp. 14–20 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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Implementation of STATIC-RANDOM-ACCESS-MEMORY-Based In-Memory Computing-architecture for improving Energy Efficiency
Abstract: The in-memory-computing architecture the improvement of big data and high-performance computing. In memory-computing (IMC) as reduces the latency and power consumption of data processing. Proposed research paper static random-access memory-based IMC architecture. By completing internal write-back, NMOS transistors increase computational efficiency and eliminate the need to read the computational output right away. A 128×128 STATIC-RANDOM-ACCESS-MEMORY-IMC macro chip is designed using the 78-nm technology. The energy efficiency of 55.3TOPS/W with supply …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 25–35 Read article
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Detection of Phishing Website URLs and Email/SMS Using Random Forest and Multinomial Naive Bayes
Abstract: Currently, phishing attacks via SMS/email and URL have become significant threat to cybersecurity, posing risks to both individuals and organizations alike. Phishing attacks typically involve the creation of fraudulent websites or the dissemination of deceptive emails and SMS messages to trick users into disclosing sensitive information such as passwords, credit card numbers or personal details. To respond to these attacks, we develop a robust system for the detection of phishing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 22–30 Read article
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The Effectiveness of Honey Application for Oral Mucositis in Cancer Patients: A Review of Randomized Controlled Trials
Abstract: Background: Oral mucositis (OM) is a prevalent and distressing adverse outcome of cancer therapies, including chemotherapy and radiation therapy. It is an inflammatory ailment that impacts the mucous membrane inside the mouth, tongue, gums, and throat. OM can cause pain, discomfort, difficulty swallowing, and in severe cases, it can lead to infection and delayed cancer treatment. Although there are various treatments available, such as painkillers, anti-inflammatory drugs, and topical anesthetics, …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 32–39 Read article
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Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article
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Caries-Preventive Effects of Self-Applied Subacidic 0.5% NaF-HF Gel via Toothbrushing in 7–8-Year-Old Schoolchildren: A Randomized Controlled Clinical Trial
Abstract: To assess the caries-preventive effectiveness of self-applied subacidic 0.5% sodium fluoride–hydrofluoric acid (NaF-HF) gel used during toothbrushing in children aged 7–8 years Objective: To assess the caries-preventive effectiveness of self-applied subacidic 0.5% sodium fluoride–hydrofluoric acid (NaF-HF) gel used during toothbrushing in children aged 7–8 years. Methods: This 1-year, multi-arm, double-blind, placebo-controlled, parallel-group randomized study evaluated the caries-preventive efficacy of self-applied 0.5% NaF-HF gel among primary schoolchildren. A total of 1200 …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 1, 2026 · pp. 14–19 Read article
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Impact of Pre-Operative Nebulized Lidocaine–Dexmedetomidine Combination Versus Monotherapy on Incidence, Severity, and Patient Comfort Scores of Post-Operative Sore Throat: A Randomized Controlled Clinical Trial
Abstract: Post-operative sore throat (POST) is a common issue after endotracheal intubation and can reduce patient comfort and hinder recovery. This randomized, double-blind clinical study investigated how effective pre-operative nebulized lidocaine, dexmedetomidine, and their combination are in minimizing POST. Eligible adult patients classified as ASA I–II and scheduled for elective surgery under general anesthesia were randomly assigned to three groups. Nebulization was administered 15–20 minutes before induction using standardized dosing and …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 29–35 Read article
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Loan Prediction Using Random Forest Algorithm
Abstract: With the growth of the banking sector, more and more people are applying for bank loans. All of these loans are not allowed. The principal income of bank assets arises from the interest earned on the loan. Bank profit or loss depends largely on the amount of the loan, i.e., whether customers pay off the loan or fail. The main purpose of banks is to invest their assets in secure …
Published in Journal of Advanced Database Management & Systems Read article
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A Random Forest Approach to Navigating Cryptocurrency Market Fluctuations
Abstract: This study looks at the main elements influencing daily price variations to improve our analysis and prediction of Bitcoin values. Our forecasting algorithm is based on comprehensive data that we have collected and analyzed over the last few years. Because the Random Forest algorithm provides more accurate forecasts than previous techniques, that is why we chose it. Predicting the price swings of cryptocurrencies, like Bitcoin, can be challenging due to …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 7–11 Read article
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Forecasting of Crushing Strength of Sustainable Concrete by Employing Deep and Random Forest Machine Learning
Abstract: Sustainable concrete is one of the milestone of the concrete industry. This concrete fulfills the requirements of concrete manufacturing industry such as strengthen, Durability, environment friendly and many of other. With this properties of concrete, sustainable concrete is an ideal substitute for ordinary concrete in the concrete industry. In the 21th century Machine learning is a tool which is use to employ the characteristics of sustainable concrete by using deep …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 41–46 Read article
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An Open Labelled Parallel Arm Randomized Clinical Trial of Tuvaraka Oil Prepared By Two Different Method In The Management of Pama
Abstract: In Ayurveda, all skin diseases have classified mainly into two groups i.e., Mahakushtha (major skin diseases) and Kshudrakushtha (minor skin diseases). Tuvaraka [Hydnocarpus laurifolia (Dessnt).Sleumer] is one among the most useful drugs for the treatment of Kushtha (Various skin diseases) and Madhumeha (Diabetes Melitus). Pama is described under Kshudra Kushtha. which can be correlates with scabies. Aim: To evaluate the clinical efficacy of Tuvaraka oil prepared by modified method and …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 1, 2024 · pp. 29–36 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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Examining the Impact of a Nurse Navigator Program on Anxiety, Psychological Well-being, and Quality of Life in Breast Cancer Patients at a Tertiary Care Hospital in Haryana: A Randomized Controlled Trial
Abstract: Background of study: Breast cancer stands as the leading cancer type affecting women and remains a significant contributor to female mortality. It is a complex ailment influenced by multiple factors. Globally, in 2020, approximately 2.3 million women received diagnoses of breast cancer, resulting in 685,000 fatalities. This condition can profoundly impact various aspects of a person's existence, encompassing physical, psychological, emotional, social, and familial spheres. A notable observation is the …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 31–39 Read article
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Sudarshan Kriya Intervention and Rise of Protective Prostaglandins in Advanced-Stage Breast Cancer: Double-Blind, Randomized, Controlled Trial
Abstract: Background: Breast cancer patients in advanced stages of cancer are managed by palliative care. This study reports important prostaglandin changes observed with added intervention of Sudarshan Kriya in their ongoing palliative care. Level of Prostaglandin A₂ (PGA₂) indicates tumor growth suppression; its level rises if person’s general condition is good, physically fit and active while PGE₂ and D₂ are considered pro-inflammatory. Quantitative assessment of Prostaglandins was done pre and post …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 62–68 Read article
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A Study to Assess the Add-on Impact of Ayurvedic Management along with Ongoing Conventional Treatment of Diabetes Mellitus: A Randomized Clinical Trial
Abstract: Diabetes affects millions and thus is a major public health disease among with adults aged 30+. Available treatment although helps but many develop other side effects to complicate the issue. Ayurveda offers options to manage diabetes without complications. Present study is to see the add-on effect of Ayurveda therapy among persons on modern medicines. Ayurveda D4 combination is Jamunbeej and Gudmarpatra 5 gm churna each before breakfast and dinner and …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy Read article
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Fusion of deep learning autoencoders with random forest for wetland classification using Sentinel-2A data: A case study on Sirpur wetland
Abstract: Present study analyses the performance of deep leaning algorithm-autoencoder to reduce data dimension as compared to conventional models. Classification accuracies of Sirpur wetland using Sentinel 2A dataset with different inputs have also been studied. These inputs sets comprise the reconstructed data through compression of original 13 bands into 4 bands using decoder algorithm, first four Principal Components, all spectral bands, and spectral indices. Random Forest classifier (RF) is used to …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 25–35 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article