Telematics and Informatics Reports最新文献

{"title":"Leveraging AI in ayurvedic agriculture: A RAG chatbot for comprehensive medicinal plant insights using hybrid deep learning approaches","authors":"Biplov Paneru ,&nbsp;Bipul Thapa ,&nbsp;Bishwash Paneru","doi":"10.1016/j.teler.2024.100181","DOIUrl":"10.1016/j.teler.2024.100181","url":null,"abstract":"<div><div>Medicinal plants are offering a lot of potential for treatment of various chronic diseases as well as healing wounds, enhancing healthy living for consumers. The Nepalese and Indian agriculture systems are one of the main areas focusing on medicinal plant cultivation, and the abundant availability of these plants in these regions is driving growth in ayurvedic research. Traditional methods for detecting plants as well as generating insights on them are often inefficient and time-consuming due to the manual research need and expertise required in plant and biological lives. In this paper, we develop an advanced LLM (Large Language Model)-powered approach to reliably identify the available medicinal plants and their profitable insights for farmers. We compare multiple deep learning and transfer learning techniques, employing models such as deep convolutional neural networks and advanced transformer models. By training and testing on the dataset that includes varieties of plant types, we select the efficient model after a detailed analysis of a variety of models, dataset split variations, and hyperparameter tuning. The selected model integrates into a retrieval augmented generation (RAG) application capable of providing various insights on the plant identified. The app supports both Nepali and English languages and integrates explainable AI for explaining medicinal plants, their health benefits, and remedies. Results show that the DeiT model achieves 95.97 % accuracy, VGG16 achieves 90.26 %, and a novel hybridized concept with DeiT + VGG16 achieves an accuracy of 96.75 % on a multi-class dataset. The integrated application explains the beneficial insights to users in English as well as local Nepali language.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100181"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering Pandemic Resilience: Simulation of Integrating IoT Innovation to Curtail Mortality","authors":"Spoorthi Singh ,&nbsp;Mohammad Zuber ,&nbsp;Navya Thirumaleshwar Hegde ,&nbsp;Meet Hitesh Jain ,&nbsp;Mohd Nizar Hamidon ,&nbsp;Adi Azriff Basri ,&nbsp;Norkhairunnisa Mazlan ,&nbsp;Kamarul Arifin Ahmad ,&nbsp;Ramya S Moorthy","doi":"10.1016/j.teler.2024.100178","DOIUrl":"10.1016/j.teler.2024.100178","url":null,"abstract":"<div><div>Historically Pandemic and Epidemic Prone (PEP) diseases rapidly inflame the respiratory tract and influence heart rate very badly, like how corona virus 2019 was transmitted by SARS-CoV-2. Thus, this article proposes a conceptual design that considers heart rate change, and respiration rate variations measured are indicated through IoT with a mobile application. Here the app-based method solves the connectivity gap through technology infusion, which was needed during pandemic. Since wearable devices to measure heart rate/ respiratory rate are commonly available, here the proposal suggests one such best-suited wearable strain sensor to focus on respiration rate and volume of a human respiratory system with high fidelity for servicing PEP patients. The proposed concept can help in monitoring and tracking multiple patients simultaneously, online through Internet of Things (IoT). This IoT enabled app not only updates doctors on already discharged patients, but also can be used by anyone to prevent last minute uncertainties. Since respiratory issues being one of the main symptoms of patients recovered from PEP disease, tracking the breathing patterns is essential. This issue requires an effective sensorics system and associated software applications, thus connecting hospital administration to the public. The aim is to help the public use a single software application to access the ambulance, hospital, and doctors, reducing time via data transfer leveraging IoT. This has been simulated using Cisco packet tracer for fast processing of data and the results are observed. As a pre-requisite of the application respiratory rate data set has been converted and the required alert indications have been shown after comparing with reference data set.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100178"},"PeriodicalIF":0.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Augmenting clinical communications between doctors and patient families through short text message updates – A Singapore healthcare experience","authors":"Zhiquan Damian Lee ,&nbsp;Huiling Linda Lim ,&nbsp;Cadence Wei Lin Wee ,&nbsp;John Tsia-Chuen Kan ,&nbsp;Chongyan Wang ,&nbsp;Kai Wen Aaron Tang","doi":"10.1016/j.teler.2024.100176","DOIUrl":"10.1016/j.teler.2024.100176","url":null,"abstract":"<div><div>Families play an integral role in the physical and emotional recovery of patients. Studies have shown the significant impact that family plays in the overall quality of care and patient experience. Effective communication between patients’ families and doctors is therefore a critical component of healthcare. Most healthcare institutions rely on a longstanding system of phone calls as the primary means of communication with families. However, this is often fraught with difficulties leading to insufficient updates, miscommunication, and grievances. This study aims to identify the shortcomings of current system of updating families and to test the feasibility of using one-way short text messages to augment clinical communication between families and doctors. The study was performed in two phases. The first phase was a survey of patients’ families and doctors to identify issues with current method of phone updates and obtain information about their perceptions and receptiveness towards text messages as a mode for patient's family updates. The second phase was a pilot trial using short text messages to update patients’ families. The survey showed that 69 % of doctors felt that current methods of updating families were too time consuming while 60 % of patients’ families felt they were not adequately updated by the medical team. Majority of doctors and family members surveyed were receptive to the use of one-way text updates to augment communication (84 % and 91 % respectively). The pilot trial showed an increase in the percentage of families that were updated at a frequency of a minimum of twice a week, from 55.6 % to 80 % of families. Family members reported that this allowed them to receive increased frequency of updates and gained a better understanding of their family member. We conclude that one-way short text messages is a promising and feasible way to augment the current system of updating families, and to improve overall quality of care.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100176"},"PeriodicalIF":0.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An antenna with second−iteration fractal patch and parallel−plane grounds for UWB/X/Ku/K band applications","authors":"Fahim Shahriyar Abir,&nbsp;Rubina Parveen,&nbsp;Md Samiul Islam,&nbsp;Md. Abubakar Siddik,&nbsp;Mahfujur Rahman","doi":"10.1016/j.teler.2024.100174","DOIUrl":"10.1016/j.teler.2024.100174","url":null,"abstract":"<div><div>The antenna proposed in this article is structured on a Rogers RT5880 (lossy) substrate holding two grounds parallel on two opposite planes, one adjacent to the transmission path feeding the fractal patch. These grounds are named as parallel<span><math><mo>−</mo></math></span>plane grounds (PPGs). The fractal antenna features a compact size of 17.7<span><math><mrow><mo>×</mo><mn>9</mn><mo>.</mo><mn>8</mn><mo>×</mo></mrow></math></span>1.575 mm³ unveiling a −10 dB impedance bandwidth of 19.5 GHz (3.2 GHz–22.7 GHz). The iterative ratio, <span><math><mi>r</mi></math></span> has an impact on the impedance bandwidth resembling other design parameters. A transient bandwidth enhancement is achievable by keeping the iterative ratio in a range of (0.6–1.1). In this range, the bandwidth gets enhanced as <span><math><mi>r</mi></math></span> ascends. The ground adjacent to the feeding path helped to achieve responses in X band (8 GHz–12 GHz), and K_u band (12 GHz–18 GHz) crossing the range of the whole ultra<span><math><mo>−</mo></math></span>wideband (3.1 GHz–10.6 GHz). It responds in some spectrum (18 GHz–22.7 GHz) of the K band (18 GHz–27 GHz) also.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100174"},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mediating role of trust and privacy concerns between web assurance mechanism and purchase intention of online products","authors":"Charu Saxena ,&nbsp;Pratibha Thakur","doi":"10.1016/j.teler.2024.100177","DOIUrl":"10.1016/j.teler.2024.100177","url":null,"abstract":"<div><div>Trust and privacy concerns are the rudimentary pillars of all the crucial online transactions. Web assurance mechanisms such as secure payment gateways, trust seals, and data protection measures, are designed to build credibility between consumers and online businesses. This research study attempts to examine the mediating role of trust and privacy concerns between web assurance mechanisms and purchase intention of online products. This will provide valuable insights to the underlying psychological processes and factors that influence consumer behavior in the online shopping context. A conceptual model has been framed to investigate the direct and indirect relationship between web assurance mechanism and purchase intention of online products via trust and privacy concern. This study uses data collected from 342 respondents. Smart PLS4 was used for the assessment of measurement model and structural model. The research findings claims that the web assurance mechanism has a significant impact on purchase intentions, privacy concerns, and trust. It was also found that when privacy concerns and trust were introduced as mediators, the indirect effect was still significant, which indicates that privacy concerns and trust partially mediate the direct relationships. The findings of the study can help identify the specific factors that contribute to consumer comprehension and assess how web assurance mechanisms influence these concerns. The findings can inform the development of privacy-enhancing measures and policies to alleviate consumer worries and increase purchase intention.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100177"},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing online learning quality: a structural equation modeling analysis of educational technology implementation during the COVID-19 pandemic","authors":"Sutiah ,&nbsp;Supriyono","doi":"10.1016/j.teler.2024.100175","DOIUrl":"10.1016/j.teler.2024.100175","url":null,"abstract":"<div><div>This study investigates the execution of online education at the Faculty of Tarbiyah and Teacher Training in Islamic State Universities in Indonesia during the COVID-19 pandemic. It assesses the platform's efficacy and quality, particularly regarding system, information, and service excellence. The study employs descriptive statistical analysis and structural equation modeling to discern strengths and weaknesses in the online learning environment, emphasizing system dependability and user satisfaction. It underscores the necessity for improvements in delivering timely information and enhancing responsiveness to fulfill consumer expectations better. The results highlight the necessity of strategic improvements emphasizing adaptability and service quality to enhance the online learning experience. These developments are especially vital in emergencies, where the adaptability and resilience of instructional technologies are evaluated. This study provides actionable recommendations for educational institutions to enhance the quality, resilience, and effectiveness of online learning for both students and educators, offering essential insights to address current challenges and contribute to the broader discourse on the future of online education.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100175"},"PeriodicalIF":0.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in natural language processing: Implications, challenges, and future directions","authors":"Supriyono ,&nbsp;Aji Prasetya Wibawa ,&nbsp;Suyono ,&nbsp;Fachrul Kurniawan","doi":"10.1016/j.teler.2024.100173","DOIUrl":"10.1016/j.teler.2024.100173","url":null,"abstract":"<div><div>This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, extracting relevant and valuable information is becoming more complex. Conventional manual techniques for handling and examining written information are laborious and susceptible to mistakes, underscoring the necessity for effective automated alternatives. The advancements in Natural Language Processing (NLP), namely in transformer-based models and deep learning techniques, have demonstrated considerable potential in improving the precision and consistency of various NLP applications. This work presents a novel approach that combines systematic review methods with sophisticated NLP approaches to enhance the overall efficiency of NLP systems. The proposed strategy guarantees an organized and clear literature review process, resulting in more informative and contextually relevant results. The report examines NLP's implications, problems, and opportunities, providing significant insights that are anticipated to propel improvements in NLP technology and its application in many industries.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100173"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of on-topic and off-topic discussions on member participation and contribution in a common-identity online community","authors":"Wirawan Dony Dahana,&nbsp;Mirai Igarashi,&nbsp;Ryo Sakiyama,&nbsp;Jiaying Zhou","doi":"10.1016/j.teler.2024.100172","DOIUrl":"10.1016/j.teler.2024.100172","url":null,"abstract":"<div><div>This study investigates the effects of various discussion topics on individuals’ decisions to join and contribute to an online community. Based on their relevancy to the community's interests and goals, we distinguish between on-topic (relevant) and off-topic (irrelevant) discussions. The relationships among group discussion, new member acquisition, and current member contribution are simultaneously modeled and estimated using data collected from a question-and-answer website. We employ a latent Dirichlet allocation model to identify different topics posted by community members. The relevancy of each topic is assessed based on relevancy scores collected through a survey. The results suggest that on-topic discussions generally increase the number of new and active members. Intriguingly, off-topic discussions can influence new member acquisition both positively and negatively, while their effect on current member contributions appears to be positive. The implications of this study for sustaining online communities are discussed.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100172"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emerging trends in the evolution of neuropsychology and artificial intelligence: A comprehensive analysis","authors":"Haihua Ying ,&nbsp;Andri Pranolo ,&nbsp;Zalik Nuryana ,&nbsp;Andini Isti Syafitri","doi":"10.1016/j.teler.2024.100171","DOIUrl":"10.1016/j.teler.2024.100171","url":null,"abstract":"<div><div>Neuropsychological evaluations are valuable in neurosurgery because they comprehensively evaluate cognitive, affective, and behavioral functioning to optimize patient outcomes. Incorporating artificial intelligence (AI) into neuropsychology offers optimistic advances, with machine learning models assisting in classifying behavioral, cognitive, and functional impairments while minimizing the number of tests. AI-based approaches have demonstrated accurate classification outcomes, providing potential alternatives to time-consuming and non-ecological conventional evaluations. This research uses data from the Scopus database to examine the trends of neuropsychological-based AI in cognitive neuroscience, mental health, and neurodegenerative disorders. The study emphasized the potential of artificial intelligence in neuropsychology research and identified several research themes. The analysis of bibliometrics may efficiently assess the developments and impact of neuropsychology research, providing insights into academic output and predicting future trends. Future research should consider utilizing alternative databases, employing a multisource strategy, incorporating additional keywords, and building upon the foundational knowledge provided by this study. Despite its limitations, this study provides significant insights and paves the way for future neuropsychology-based artificial intelligence research. Furthermore, investigating significant topics and key issues in the neuropsychology and artificial intelligence debate adds new perspectives to the corpus of literature. This analysis can help identify gaps, controversies, and areas of future exploration within the field. The study also highlights the importance of learning and intelligent computation in neuropsychology, providing a conceptual methodology based on a comprehensive review of the most recent research.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100171"},"PeriodicalIF":0.0,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of VR technical interaction and acceptance on rural cultural identity: The mediating role of embodied cognition and flow experience","authors":"Xiuyu Lin,&nbsp;Yating Wang,&nbsp;Zehui Zhan,&nbsp;Qin Wang,&nbsp;Dongmei Xiang,&nbsp;Huiyan Li","doi":"10.1016/j.teler.2024.100170","DOIUrl":"10.1016/j.teler.2024.100170","url":null,"abstract":"<div><div>With the development of digital media, an increasing number of new technologies are being used in cultural communication, and virtual reality (VR) technology for cultural communication has become a modern tool of transmission. To investigate the factors that influence rural cultural identity (RCI) through technical interaction (TI) and technology acceptance (TA) in VR in cultural communication, this study initially constructed a model of the influence path mediated by embodied cognition (EC) and flow experience (FE) based on compensatory media, technology acceptance, embodied cognition and flow experience theory. All participants had experienced some rural historical and cultural VR work and then completed a corresponding questionnaire. A total of 356 questionnaires were collected and analyzed using SPSS and SmartPLS software. The results indicated that the technological interaction and acceptance of VR influenced identification with rural culture through the mediating role of embodied cognition and flow experience. These findings provide a reference for strengthening audiences' embodied cognition and flow experience to promote their rural cultural identity. When VR technology is used to communicate culture, its technological interaction and acceptance can be improved to provide audiences with a better experience and perhaps influence the development of local tourism.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100170"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}