Search
1978 articles for “CLA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
-
Unlocking the Healing Powers of Aṣl Khāliṣ (Honey): Exploring Its Functional and Therapeutic Potential
Abstract: Aṣl Khāliṣ (honey) as a natural product has grabbed the attention of researchers as a reciprocal and indispensable remedy. Honey has been used to heal both internal and external ailments for much longer than medicine has existed. Unani scholars have mentioned its action in classical literature as a nutritional agent, as well as a natural food supplement with therapeutic antibacterial, anti-inflammatory, cleansing, deobstruent, lithotryptic, and wound-healing properties. According to contemporary …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 17–23 Read article
-
Extended Fixed Point Theorems in Menger PM-Type Spaces: Generalized Auxiliary Functions and Contractivity Conditions
Abstract: Background: Fixed point theory in probabilistic metric spaces, particularly Menger spaces, has been a subject of intensive research due to its applications in nonlinear analysis and mathematical modeling. Traditional approaches often impose restrictive constraints on the defining properties of Menger spaces and limit the class of auxiliary functions in contractivity conditions Methods: We extend recent fixed point theorems in Menger spaces by: (1) introducing the notion of Menger PM-type spaces …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
-
The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
-
Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
-
ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
-
AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
-
SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
-
Consumer Behavior Trends Supporting Green Marketing
Abstract: Growing environmental concerns and the increasing emphasis on sustainability have significantly influenced consumer preferences, leading to a noticeable shift toward eco-friendly products and the emergence of green marketing as a key strategic approach for businesses. The study aims at evaluating consumer behavior trends based on the concept of green marketing, including environment awareness, attitudes of the consumers and how it influences consumer buying behavior and confidence in green marketing claims. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
-
A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
-
Adoption of Building Information Modeling (BIM) in the Philippines’ AEC Industry: Prospects, Issues, and Challenges
Abstract: Building Information Modeling (BIM) is a modern approach and process used in the architecture, engineering, and construction (AE&C) industry that enhances planning, design, and construction of facilities. In fact, BIM is considered one of the most promising advancements in the AE&C industry. Its usage in other countries has become prevalent and the benefits are remarkable in terms of reduction of time, cost, and material wastage. The Philippines, on the other …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 2, 2019 · pp. 8–20 Read article
-
Controller Performance Assessment (CPA) of Intelligent Control for Non-linear System
Abstract: The objective of this paper is to design and undertake comparative analysis of classical and intelligentcontrollers for nonlinear system. These controllers are compared based on controller performanceassessment in which the different parameters as overshoot, steady-state error, rise time, settling time,response of reference change and output variance are analyzed. To achieve these objectives, the water tankcontrol problem as nonlinear system has been built in Simulink and implementations traditionally classicalcontroller and advance …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 25–33 Read article
-
Context Inference: Light-Weight Online Unsupervised Posture Detection by Smartphone Accelerometer
Abstract: This paper proposes a mild-weight online classification method to locate the user-centric postural movements, inclusive of sitting, standing, walking, and jogging, through smartphones. These moves are named user states considering that they're inferred after the evaluation of records acquired thru the accelerometer sensor built-in smartphones. To distinguish one-person country from some other, much research may be observed in the literature. But, this has a look at differs from others via …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 12–20 Read article
-
Analysis of Different Level Half-Bridge Modular Multilevel Inverter
Abstract: Inverter is a power electronics device which is used to convert DC power to AC power at required output voltage and frequency. It can be broadly classified as two level inverters and multilevel inverters. The multilevel inverters are mainly classified as Diode clamped, Flying capacitor inverter and cascaded multilevel inverter. The design and operation of cascaded half bridge modular multilevel inverter (MMC) was very easy. Because, no clamping diode and …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
-
Digital Technology and Innovation in Education
Abstract: Nowadays digital technology is totally transforming all the sectors with smart technology and intelligence capability. Among these changes, Technology is transforming education in a whole new way. The Internet is the core of providing open access to information to anybody, anywhere, anytime. Along with the internet, technology like Artificial Intelligence, machine learning, computer vision, deep learning, cloud computing, Internet of Things are changing the picture of modern education. This technology …
Published in Journal of Production Research & Management · Vol. 11, Issue 3, 2021 · pp. 13–18 Read article
-
Metal Surface Coating Through Welding Processes
Abstract: The adversity of service conditions limits the service life of components. The replacement cost of the components is extremely high. Surfacing technique offers benefits in reducing materials costs and, in salvage applications, enables an expensive or difficult-to-replace part to be reclaimed and restored to operation with minimum of downtime. Industries involved in surfacing operations use various fusion welding especially arc welding processes. These operations demand high deposition rates but at …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 2, Issue 3, 2015 · pp. 23–27 Read article
-
Comparative Analysis of Partial Product Addition in Vedic Urdhva Tiryakbhyam Multiplier
Abstract: Multiplication is one of important operations performed in many digital signal processing applications. Hence the performance of the multiplier will affect the overall performance of the DSP processor. The methods like booth multiplier, and array multiplier are used. Vedic multiplication technique had proved its importance in getting the speed of multiplication. It is required to add the generated partial products quickly, to generate the result of multiplication faster. To add …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 15–32 Read article
-
Virtual Design Studio-based Teaching and Learning in B.Arch. Program
Abstract: In Architecture education a new dimension is added in context to technology. If the person is equipped with technology learning will be infinite and multidisciplinary its future scope is also clarified by this means. Many parameters are crossed in learning through technology like countries, proximity to individuals; environment and other hostile conditions are avoided through technology. All the possible outcomes are available through technology like with the use of software’s, …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 20–30 Read article
-
Age, Gender And Emotion Detection
Abstract: The main reason is the development of a method to automatically estimate the age and gender of the human face. It continues to play an important role in computer vision and pattern recognition. In addition to age determination, facial emotion recognition also plays an important role in computer vision. Nonverbal communication methods such as facial expressions, eye movements, and gestures are used in many human-computer interaction applications. Much research has …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
-
Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article