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Spoken word recognition using a novel speech boundary segment of voiceless articulatory consonants Int. J. Inf. Technol. Pub Date : 2024-03-17 Bachchu Paul, Sumita Guchhait, Sandipan Maity, Biswajit Laya, Anudyuti Ghorai, Anish Sarkar, Utpal Nandi
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Authorship attribution in twitter: a comparative study of machine learning and deep learning approaches Int. J. Inf. Technol. Pub Date : 2024-03-17 Rebeh Imane Ammar Aouchiche, Fatima Boumahdi, Mohamed Abdelkarim Remmide, Amina Madani
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Sensing-aided peer-to-peer millimeter-wave communication Int. J. Inf. Technol. Pub Date : 2024-03-17 Xiangyu Li, Sidong Guo, Shez Malik
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Quantized hashing: enabling resource-efficient deep learning models at the edge Int. J. Inf. Technol. Pub Date : 2024-03-16 Azra Nazir, Roohie Naaz Mir, Shaima Qureshi
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Tri-fuzzy interval arithmetic with deep learning and hybrid statistical approach for analysis and prognosis of cardiovascular disease Int. J. Inf. Technol. Pub Date : 2024-03-16
Abstract In the era of artificial intelligence, healthcare informatics holds significant promise for cardiovascular disease (CVD) analysis. This study employs three computational intelligence approaches to address CVD-related challenges comprehensively. At first, various statistical methods unveil relationships between heterogeneous risk factors and predicted outcomes, employing tests of significance
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Analyzing sentiments towards E-Levy policy implementation in Ghana using twitter data Int. J. Inf. Technol. Pub Date : 2024-03-16 Peter Appiahene, Stephen Afrifa, Emmanuel Kyei Akwah, Arjun Choudhry, Inder Khatri, Chahat Raj, Mukesh Prasad
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VulnArmor: mitigating software vulnerabilities with code resolution and detection techniques Int. J. Inf. Technol. Pub Date : 2024-03-15 Parul V. Sindhwad, Prateek Ranka, Siddhi Muni, Faruk Kazi
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An interpretable deep learning based approach for chronic obstructive pulmonary disease using explainable artificial intelligence Int. J. Inf. Technol. Pub Date : 2024-03-15 Lobna M. Abou El-Magd, Ghada Dahy, Tamer Ahmed Farrag, Ashraf Darwish, Aboul Ella Hassnien
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An integrated approach for understanding global earthquake patterns and enhancing seismic risk assessment Int. J. Inf. Technol. Pub Date : 2024-03-13 Mariam Ibrahim, Baidaa Al-Bander
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Assessment of the relevance of features associated with corn crop yield prediction in Colombia, a country in the Neotropical zone Int. J. Inf. Technol. Pub Date : 2024-03-12 Brayan-Leonardo Sierra-Forero, Julio Baron-Velandia, Sebastian-Camilo Vanegas-Ayala
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Novel construction method for Pythagorean fuzzy similarity measures Int. J. Inf. Technol. Pub Date : 2024-03-12 Koushal Singh, Surender Singh
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A hybrid authenticated image encryption scheme using elliptic curves for enhanced security Int. J. Inf. Technol. Pub Date : 2024-03-12 Shalini Gupta, Nitish, Mansi Harish, Arun Kumar Sharma
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A technique to forecast Pakistan’s news using deep hybrid learning model Int. J. Inf. Technol. Pub Date : 2024-03-11
Abstract Forecasting future events is a challenging task that can have a significant impact on decision-making and policy-making. In this research, we focus on forecasting news related to Pakistan. Despite the importance of accurate predictions in this field, there currently exists no dataset for forecasting Pakistani news, specifically with regards to politics. Unlike numerical time series data, textual
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Unified intercept probability analysis of multi-user multi-relay aided decode-and-forward wireless systems Int. J. Inf. Technol. Pub Date : 2024-03-11
Abstract This paper investigates a cooperative network scenario involving a source, multiple users, and relays, all situated in the presence of multiple eavesdroppers attempting to intercept the secret message transmitted by the source node. To deal with this problem a novel secrecy maximization oriented relay selection (SMORS) scheme is proposed to enhance the physical layer security (PLS) of wireless
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GTMicro—microservice identification approach based on deep NLP transformer model for greenfield developments Int. J. Inf. Technol. Pub Date : 2024-03-08 Deepali Bajaj, Urmil Bharti, Isha Gupta, Priya Gupta, Asha Yadav
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Comparative study of low resource Digaru language using SMT and NMT Int. J. Inf. Technol. Pub Date : 2024-03-07 Rushanti Kri, Koj Sambyo
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ConvNeXt network with transfer learning for cumulative foot pressure images recognition Int. J. Inf. Technol. Pub Date : 2024-03-07
Abstract Humans can be differentiated by their walking style using cumulative foot pressure images, which are 2-D cumulative ground reaction forces during each gait cycle. In this paper, we propose a new model for cumulative foot pressure images in which we apply transfer learning to our ConvNeXt model after adjusting it based on our usage to acquire discriminative features that can identify humans
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ICE-VDOP: an integrated clustering and ensemble machine learning methods for an enhanced vector-borne disease outbreak prediction using climatic variables Int. J. Inf. Technol. Pub Date : 2024-03-06 Divya Jayabalan, Sivasankar Elango
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3D printable PLA spiral phase plate with horn feed for OAM beam generation for 6G communication Int. J. Inf. Technol. Pub Date : 2024-03-06 Y. Mallikharjuna Reddy, U. V. Ratna Kumari
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Performance optimization of hydroelectric power-plants using computational intelligence techniques Int. J. Inf. Technol. Pub Date : 2024-03-06 Ashish Kumar, Vijay Singh Maan, Monika Saini
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An efficient IoT task scheduling algorithm in cloud environment using modified Firefly algorithm Int. J. Inf. Technol. Pub Date : 2024-03-06 Mohammad Qasim, Mohammad Sajid
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Using light weight container a mesh based dynamic allocation task scheduling algorithm for cloud with IoT network Int. J. Inf. Technol. Pub Date : 2024-03-05 Santosh Shakya, Priyanka Tripathi
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Enhancing lung cancer prediction through crow search, artificial bee colony algorithms, and support vector machine Int. J. Inf. Technol. Pub Date : 2024-03-04
Abstract Lung cancer is one of the leading causes of death worldwide. According to statistics from the World Health Organization (WHO) for the year 2020, lung cancer has caused the death of about 1.80 million people. It is the most common form of cancer, and it is often diagnosed in later stages when metastatic spread to other areas of the body has occurred. Early detection and treatment can help reduce
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Noise cancellation of polycystic ovarian syndrome ultrasound images using robust two-dimensional fractional fourier transform filter and VGG-16 model Int. J. Inf. Technol. Pub Date : 2024-03-03 Manika Jha, Richa Gupta, Rajiv Saxena
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An optimized quad-ensemble short term load forecasting (STLF) method for electricity usage prediction using deep learning Int. J. Inf. Technol. Pub Date : 2024-03-03 Pushpa, Sanjeev Indora
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Cognitive agent based fault tolerance in ubiquitous networks: a machine learning approach Int. J. Inf. Technol. Pub Date : 2024-03-02
Abstract Ubiquitous Networks play an essential role in accessing ubiquitous computing services at anytime, anywhere, and anyplace through computing nodes of heterogeneous networks. Nowadays, ubiquitous network faces various issues related to fault management or tolerance in a real world environment. In this type of network, fault tolerance is one of the vital issues due to dynamic and uncertain character
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A novel energy efficient model of smart dustbin for waste segregation Int. J. Inf. Technol. Pub Date : 2024-02-29 Jass Sadana, Kunal Aggarwal, Prachi Jindal, Devansh Verma, Saji M. Antony, Jolly Parikh
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3Dimensional improvise clustering algorithm for unmanned aerial vehicles: 3DICA Int. J. Inf. Technol. Pub Date : 2024-02-29 Vinti Gupta, Dambarudhar Seth
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Secure IoT framework for authentication and confidentiality using hybrid cryptographic schemes Int. J. Inf. Technol. Pub Date : 2024-02-29 Salman Ali, Faisal Anwer
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Multi-resource management using an advanced scheduling algorithm to the least amount of time Int. J. Inf. Technol. Pub Date : 2024-02-28
Abstract The scheduling of appropriate resources for cloud workloads is a difficult task, as it depends on the quality of service needs of cloud applications. Due to their limited data storage and energy capabilities, Internet of Things (IoT) applications demands high-speed data transfer and low latency. Many IoT devices generate data continuously and want to store it on the cloud quickly and efficiently
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An energy efficient encryption technique for the Internet of Things sensor nodes Int. J. Inf. Technol. Pub Date : 2024-02-27
Abstract Securing data at the back end in Internet of Things (IoT) applications, such as a cloud server, is easy due to the ample computational resources at that stage. However, securing the data at the device level before outsourcing to the central server is necessary, considering the attack scenarios at the interface between the device and the back-end machine. The end devices, resource-constrained
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Secure waste collection approach for smart cities Int. J. Inf. Technol. Pub Date : 2024-02-25 Radhika Lama, Sandip Karmakar
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A pseudo adaptive routing algorithm for high-performance e-RiCoBiT-1 (enhanced ring connected binary tree) topology Int. J. Inf. Technol. Pub Date : 2024-02-25 V. Sanju, Ramakrishnan Nithin, S. Farhanaaz
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Efficient algorithm for error optimization and resource prediction to mitigate cost and energy consumption in a cloud environment Int. J. Inf. Technol. Pub Date : 2024-02-24 Sangeeta Sangani, Rudragoud Patil, R. H. Goudar
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A new technique for classification method with imbalanced training data Int. J. Inf. Technol. Pub Date : 2024-02-24 Sufal Das
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Dynamic performance modeling framework for QoS-aware 5G-based IoT-edge systems Int. J. Inf. Technol. Pub Date : 2024-02-24 Sujit Bebortta, Bibudhendu Pati, Chhabi Rani Panigrahi, Dilip Senapati
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SMAIoT-ferti: a smart cropland monitoring and optimal fertigation IoT system Int. J. Inf. Technol. Pub Date : 2024-02-24 Keyurbhai A. Jani, Nirbhay Kumar Chaubey
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Improving fuzzy clustering algorithm for overlapping elements and its application Int. J. Inf. Technol. Pub Date : 2024-02-23 Bich PhamThi, Nga VoThiHang, Quyen Tuong Vu, Dinh PhamToan
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A three-step SEM-Bayesian network approach for predicting the determinants of CloudIoT-based healthcare adoption Int. J. Inf. Technol. Pub Date : 2024-02-23 Iyad Altawaiha, Rodziah Atan, Razali Bin Yaakob, Rusli Bin Hj Abdullah
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Enhanced Shor’s algorithm with quantum circuit optimization Int. J. Inf. Technol. Pub Date : 2024-02-22 Syed Shamikh Iqbal, Aasim Zafar
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Abnormalities detection on chest radiograph with bounding box-based lungs extraction and object detection algorithm Int. J. Inf. Technol. Pub Date : 2024-02-21 Hai Thanh Nguyen, My N. Nguyen, Sang Chi Pham, Phuong Ha Dang Bui
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Enhancing IoT intrusion detection system with modified E-GraphSAGE: a graph neural network approach Int. J. Inf. Technol. Pub Date : 2024-02-21 Mahsa Mirlashari, Syed Afzal Murtaza Rizvi
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Medical Defense Nanorobots (MDNRs): a new evaluation and selection of controller criteria for improved disease diagnosis and patient safety using NARMA(L2)-FOP + D(ANFIS)µ – Iλ-based Archimedes Optimization Algorithm Int. J. Inf. Technol. Pub Date : 2024-02-20 Hamzah M. Marhoon, Noorulden Basil, Abdullah Fadhil Mohammed
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Optimal design and development of a microgrid for off-grid rural communities Int. J. Inf. Technol. Pub Date : 2024-02-20 Arvind Kumar Jain, Ashutosh Barua, Pankaj Kumar Mishra
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@llegra: a chatbot for Vallader Int. J. Inf. Technol. Pub Date : 2024-02-19 Oliver Bendel, Dalil Jabou
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Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach Int. J. Inf. Technol. Pub Date : 2024-02-19 Iyad Altawaiha, Rodziah Atan, Razali Bin Yaakob, Rusli Bin Hj Abdullah
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Harmonic reduction of second order sallen and key lowpass filter and second order MFB lowpass filter through closed loop PID controlled method Int. J. Inf. Technol. Pub Date : 2024-02-18
Abstract Filters play a crucial role in various sectors, and active filters, in particular, find widespread applications. This research paper focuses on comparing the level of harmonics in two types of second-order Butterworth low-pass filters: the Voltage-Controlled Voltage Source (VCVS) Sallen and Key filter and the Multiple Feedback (MFB) filter, in both open-loop and closed-loop configurations
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Enhancing the predictive capability of a mathematical model for pseudomonas aeruginosa through artificial neural networks Int. J. Inf. Technol. Pub Date : 2024-02-16 Shafaq Naz, Gautam Siddharth Kashyap
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Optimization of economic dispatch using updated differential evolution algorithm Int. J. Inf. Technol. Pub Date : 2024-02-16 Pooja Tiwari, Vishnu Narayan Mishra, Raghav Prasad Parouha
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Machine learning in the identification of phenotypes of multiple sclerosis patients Int. J. Inf. Technol. Pub Date : 2024-02-16 Pratheeba Jeyananthan
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Hybrid Arithmetic-Rider Optimization algorithm as new intelligent model for travelling salesman problem Int. J. Inf. Technol. Pub Date : 2024-02-15
Abstract Travelling Salesman Problem (TSP) is one of the significant NP-hard benchmark problems for performing discrete optimization. In recent times, determining the optimal route mechanism has been implemented and ensured as an important mechanism for solving practical applications. In real-time applications, energy-saving, reaching the destination at the assigned time, and identifying the shortest
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Emulation of point cloud streaming over 5G network Int. J. Inf. Technol. Pub Date : 2024-02-15 Estabraq H. Makiyah, Nassr N. Khamees
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Ensemble adaptive online machine learning in data stream: a case study in cyber intrusion detection system Int. J. Inf. Technol. Pub Date : 2024-02-15 Khushnaseeb Roshan, Aasim Zafar
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Edge-assisted federated learning for anomaly detection in diverse IoT network Int. J. Inf. Technol. Pub Date : 2024-02-15
Abstract The rapid expansion and increasing complexity of Internet of Things (IoT) networks have led to a heightened need for effective and adaptable anomaly detection techniques. The vast variety of devices, communication protocols over 5G and other networks, and data types present in diverse IoT environments poses significant challenges for traditional centralized methods. With the rapid increase
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Particle swarm optimized deep spatio-temporal features for efficient video retrieval Int. J. Inf. Technol. Pub Date : 2024-02-14
Abstract In content-based video retrieval, the phases of video frame selection and 3-dimensional feature extraction are especially crucial. These stages should be optimized based on temporal complexity because increasing the execution time would also increase the retrieval time. Furthermore, information optimization is not taken into consideration by fixed keyframe sampling methods such as clustering
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Privacy preserving using joint 2 K-means clustering and coati optimization algorithm for online social networks Int. J. Inf. Technol. Pub Date : 2024-02-14 Nithish Ranjan Gowda, Venkatesh, K. R. Venugopal
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Modelling of intrusion detection using sea horse optimization with machine learning model on cloud environment Int. J. Inf. Technol. Pub Date : 2024-02-14 C. Jansi Sophia Mary, K. Mahalakshmi
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Suicidal ideation prediction based on social media posts using a GAN-infused deep learning framework with genetic optimization and word embedding fusion Int. J. Inf. Technol. Pub Date : 2024-02-13 Rohini Kancharapu, Sri Nagesh Ayyagari
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Localization-based waiter robot for dynamic environment using Internet of Things Int. J. Inf. Technol. Pub Date : 2024-02-12 Muhammad Waqas Qaisar, Muhammad Mudassir Shakeel, Krzysztof Kędzia, José Mendes Machado, Ahmed Zubair Jan
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Controller node driven hop count based data distribution algorithm in ring connected binary tree network-on-chip for parallel processing Int. J. Inf. Technol. Pub Date : 2024-02-12 R. Uma, H. Sarojadevi, V. Sanju