METAHEURISTIC-DRIVEN HYPERPARAMETER OPTIMIZATION FOR BERT IN SENTIMENT ANALYSIS
Sentiment analysis has come out as an important activity in natural language processing (NLP) applications whose data analysis is in high demand at present in the modern world. The BERT (Bidirectional Encoder Representations from Transformers) algorithm has proved to be extremely efficient when it comes to sentiment analysis tasks, and its potentia...
By Alaa A. El-Demerdash, Nahla B. Abdel- Hamid, Amira Y. Haikal
IMPLEMENTATION OF LOW POWER MEMRISTOR CONTENT ADDRESSABLE MEMORY USING FINFET
The research environment is promptly looking at the extensive development of memristor devices in industrial applications. Future technology is eagerly waiting for the upcoming developments in memristor-based devices. Memristor regulates the current flow in devices and the amount of previously flowed charges, which are stored as memory in applicati...
By Ancy Joy, Jinsa Kuruvilla
THE SURVEY OF CLUSTER BASED DATA COLLECTION PROCESS FOR IOT ENABLED WIRELESS SENSOR NETWORK USING SEVERAL OPTIMIZATION TECHNIQUE
Offers a detailed analysis of optimization algorithms and routing protocols are created to overcome the issues on energy efficiency with the Internet of Things (IoT) Enabled Wireless Sensor Networks (WSNs). The study analyses nature-based metaheuristic methods such as the Genetic Algorithms, Particle Swarm Optimization, Firefly Optimization, Gray W...
By R. Abirami, K. Sathishkumar, Liu Guanzhou, M. Ramalingam, Wasim Ahmad, Ali Bostani
CROSS-PLATFORM HATE SPEECH DETECTION BY TARGET CATEGORY: EVALUATING TRADITIONAL AND TRANSFORMER MODELS ENHANCED WITH SMOTE
Societal and technological challenges are significant when it comes to cyberbullying, which is an ubiquitous issue in the social media space including Twitter, Facebook, YouTube, and Instagram. This paper will focus on the identification of hate speech that targets particular individuals, especially in the context of the data in Hindi language. It ...
By Rachna Narula, Poonam Chaudhary
BIO-INSPIRED ADAPTIVE ANOMALY DETECTION IN IOT USING ARTIFICIAL IMMUNE SYSTEMS AND DYNAMIC DETECTOR SELECTION
The rapid growth of the Internet of Things (IoT) brings new options to innovative healthcare, transportation, and industrial systems. However, this expansion also increases cyber threats to these infrastructures. Standard anomaly detection systems use fixed machine learning models. Such models require frequent retraining and are not very sensitive ...
By Ashraf Thaker Mahmood, Qais Rashid Ibrahim
HYBRID HYDROGEN ELECTRIC POWERTRAIN OPTIMIZATION FOR CONNECTED AUTONOMOUS VEHICLES IN URBAN TRAFFIC
The transition to low-carbon urban transport has catalyzed interest in hybrid hydrogen-electric powertrains for connected autonomous vehicles (CAVs), which offer zero tailpipe emissions, long driving range, and the potential to refuel quickly. The paper proposes a system-level optimization model for hybrid hydrogen-electric powertrains in urban tra...
By Anjali Goswami, Anjali Krushna Kadao
HISTORICAL DEVELOPMENT OF CONSTRUCTION TECHNIQUES: FROM ANCIENT ARCHITECTURE TO MODERN ENGINEERING
The history of architecture has been molded with the development in modes of construction, reflecting the social, economic, and technological advancement of different civilizations. This paper discusses the chronological development of the various methods of construction from ancient architecture to modern engineering and cites some key milestones ...
By Nodir Karimov, Maman Sarybaev, Aynazar Kaipnazarov, Nematjan Djumageldiev, Rustem Reymbaev, Fariza Kholdarova
INFLUENCE AND PREDICTION OF SINTERED AGGREGATE SIZE DISTRIBUTION ON THE PERFORMANCE OF LIGHTWEIGHT ALKALI-ACTIVATED CONCRETE
The most effective method for mitigating the adverse environmental impacts of traditional concrete involves substituting cement and natural aggregate with waste and byproduct resources. Utilizing sintered lightweight aggregate (fly ash) in geopolymer concrete emerges as an efficient solution for managing and disposing of significant amounts of fly ...
By Pushpendra Singh Palash, Priyanka Dhurvey
OPTIMIZING VLSI ARCHITECTURE WITH CARRY LOOK AHEAD TECHNOLOGY BASED HIGH-SPEED, INEXACT SPECULATIVE ADDER
This paper describes the design of the Carry Look-ahead Adder (CLA), which uses the Inexact Speculative Adder (ISA). The speculative adder is designed for high-speed VLSI architecture and features advanced compensation techniques and optimized hardware efficiency. Considered to be the adder's critical path, it is finely pipelined to contain a few l...
By S. Pragadeswaran, M. Vasanthi, E. Veera Boopathy, S. Suthakaran, S. Madhumitha, N. Ragupathi, R. Nikesh, R. Preethika Devi
ROLE OF GREEN BUILDINGS IN THE SUSTAINABLE DEVELOPMENT OF TIER-II CITIES IN INDIA
Green building technologies (GBTs) have advanced significantly, as a result of the advantages to society, economy, and environment. It might lead to more environmentally friendly growth, considering climate change. The primary goal of GBTs is to utilize water, energy, and other resources sparingly in a balanced manner. Green buildings (GBs) have ad...
By Anshul Jain, K. Ananda Babu