DYNAMIC ATTRIBUTE FILTERING FOR HIGH-ACCURACY MALICIOUS ACTIVITY RECOGNITION IN CLOUD PLATFORMS
Cloud computing is a critical infrastructure to the modern digital services, which provides the ability to store data on a scale, distributed computing, and the ability to deploy services flexibly. Moreover, the high rate of cloud environment development has also contributed to the risk of malicious intrusions like the spread of malware, unauthoriz...
By Sanaboyina Madhusudhana Rao, Arpit Jain
ACAPE-FID ADAPTIVE CONVOLUTION-ASSISTED POLAR ENCODER WITH FLEXIBLE ITERATIVE DECODING FOR HIGH-EFFICIENCY FPGA WIRELESS COMMUNICATION
Reliable wireless communication needs a highly efficient Forward Error Correction (FEC) technique in order to counter the effects of noise, interference, and losses. Most existing FEC techniques add too much redundancy and create extra latency, thereby reducing the efficiency of bandwidth utilization. Hence, the purpose of the current research is t...
By T. Ranjitha Devi, C. Kamalanathan
HOUSEHOLD E-WASTE MANAGEMENT AND CIRCULAR ECONOMY PATHWAYS IN KERALA WITH FOCUS ON POLICY AWARENESS AND DISPOSAL BEHAVIOUR
Electronic waste (e-waste) is posing an increasing challenge to environmental sustainability and human health in India, especially among the digitalizing states such as Kerala. This study examines the household electronic waste generation, disposal, concerns, policy awareness, and opportunities of circular economy through surveying 150 households i...
By K.V. Nidhi Varghese, D. Mahila Vasanthi Thangam
QUANTUM-ENHANCED DEEP LEARNING MODEL FOR CROP–WEED CLASSIFICATION IN SORGHUM IMAGERY USING THE SORGHUM CROP WEED DATASET CLASSIFICATION
Classification of crops and weeds is an important aspect in precision agriculture, as it aids in providing a means for efficient weed control and reduced herbicide applications to achieve high crop productivity. In this paper, a quantum-classical hybrid deep learning approach is presented for accurate identification of crops and weeds from sorghum ...
By J. Justina Michael, Logeshwari Radhakrishnan, R. Radhika, P.L. Joseph Raj, M. Mahalakshmi
EFFECT OF GRAPHENE AND GRAPHENE-FERROMOLYBDENUM ON MECHANICAL, ELECTRICAL, AND THERMAL PROPERTIES OF FSPED COPPER HYBRID COMPOSITES
Copper has good electrical and thermal conductivities and is used in numerous electrical and electronic applications as well as thermal management applications, but not for mechanical applications because of its low mechanical strength. In this research work, fabrication of graphene and graphene ferromolybdenum (Gr–FeMo) reinforced copp...
By P. Vineeth Krishna, Sabitha Jannet, R. Raja
AN ANALYSIS OF PSYCHOPHYSIOLOGICAL DEVELOPMENT IN CHILDREN BORN THROUGH IN VITRO FERTILIZATION HIGHLIGHTING COGNITIVE AND BEHAVIORAL CHARACTERISTICS
More than ten million infants have been conceived through in vitro fertilization (IVF), but uncertainties remain about whether methods used in assisted conception leave any trace of their influence on psychophysiological development in later life. This review presents findings from empirical and meta-analytic studies published between 2010 and 2025...
By Nodir Yadgarov, Sarvinoz Otamuratova, Nilufar Rakhmonova, Munisa Sanayeva, Iqbolkhon Abdurakhmanova, Mehriniso Abuzalova, Begali Rayimov
EMOTIONAL INTELLIGENCE AND HUMAN–AI COLLABORATION: A MULTILEVEL ANALYSIS OF EMPLOYEE CREATIVITY AND ADAPTIVE PERFORMANCE
Workplaces that are equipped with artificial intelligence (AI) technology have changed the relationship between technology and people at work and require knowledge about how the interaction between human competencies and the conditions of an organization impacts work. This paper examines the role of emotional intelligence and the ability to collabo...
By Tisha Tomy, R. Sheeja, V. Santhosh Kumar, Veera Shireesha Sangu, Ruben Anto Michael, Pavithra Srinivas
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