http://ijaers.com/ Open Access international Journal to publish research paper en-us October As one of the core precision components of power equipment, fuel nozzles are prone to concealed defects invisible to the naked eye, including pores, cracks, and structural corrosion, due to long-term operation under high-temperature and high-pressure working conditions. These defects affect the combustion efficiency and operational safety of the equipment. Traditional ultrasonic flaw detection has certain limitations when facing complex structures and tiny defects. Therefore, this paper proposes a frequency-domain extraction method integrating Fourier transform and wavelet transform, and completes model training and verification on the ultrasonic flaw detection dataset based on the PyTorch deep learning framework. Experiments show that the proposed method outperforms single-signal processing methods in terms of accuracy, recall, and F1-score. This method can provide a reference for intelligent non-destructive testing and industrial automatic flaw detection. http://ijaers.com/detail/research-on-fuel-nozzle-defect-classification-based-on-ultrasonic-flaw-detection-and-time-frequency-fusion-deep-learning/ Jian-Ting Lai, Ruo-Yu Yang, Yan-Xiao Jia, Jia-Yi Hu, Wei Yan, Bo-Liang Zhang http://ijaers.com/uploads/issue_files/1IJAERS-1020264-Research.pdf This study evaluates how an AI-driven virtual receptionist (DentalAssist.ai) handles incoming patient calls in dental practices and grounds a conceptual framework for AI-driven dental reception in empirical evidence on workflow effects, intent distribution, after-hours coverage and conversational patterns. An observational multi-site design was applied to 3,532 anonymised call records collected from ten North American dental practices over 9.9 months (June 2025 – March 2026), each described by 29 attributes covering timestamps, intent classification, outcome status, booking completion and after-hours flags. Descriptive analyses were complemented by qualitative content coding of anonymised dialogue transcripts (66 extracted, 50 analysable). Across all calls, 67.6% reached a Success outcome, 28.1% were Incomplete and 4.3% were classified as Other. Performance changed substantially across the observation window: Success rose from 26.2% in the first three months (n = 978) to 86.2% in the final three (n = 1,308), booking completion from 3.3% to 32.8%, and abandonment fell from 21.0% to 9.4%. The aggregate figures reported here therefore average over a maturing deployment and should be read alongside that trajectory. Among calls with booking intent (n = 1,830), 38.6% (707) concluded with a confirmed booking, and 27.3% of all calls (n = 964) occurred outside business hours and were received and processed without staff involvement, 66.9% of them reaching a Success outcome. Abandoned calls accounted for 15.1%, of which 94% involved unclear or incomplete intent. Two clinics generated 97% of traffic, with success rates of 63.4% and 93.3% respectively. Qualitative analysis identified a four-stage booking flow, an emergency triage protocol based on capture-and-handover rather than autonomous slot assignment, and human-escalation triggers in 7 of the 50 analysed dialogues. The findings indicate that an AI virtual receptionist in commercial deployment can absorb a measurable share of administrative call volume, including extensive after-hours coverage, while preserving escalation paths, and supply a practice-grounded reference point for future evaluations of conversational AI in dental front-desk operations.. http://ijaers.com/detail/an-ai-virtual-receptionist-in-dental-practice-a-multi-site-observational-analysis-of-3-532-patient-calls/ Usman Tariq http://ijaers.com/uploads/issue_files/IJAERS-1020265-AnAI.pdf Innovation has transitioned from a tactical option to a fundamental strategic imperative for continuous corporate survival, sustainability, and competitive differentiation in the global financial services industry. However, contemporary academic literature lacks a comprehensive, empirical diagnostic framework tailored specifically to emerging markets such as the Brazilian insurance sector. This domain is uniquely characterized by strict state-level oversight under the Superintendence of Private Insurance (SUSEP) and National Council of Private Insurance (CNSP), high economic concentration among major banking and insurance conglomerates, and a historically low market penetration index relative to Gross Domestic Product (GDP). The primary objective of this study is to formulate, structure, and exploratorily assess a multi-dimensional conceptual framework for mapping, measuring, and evaluating critical success factors (CSFs) and organizational practices for innovation in insurance companies operating within Brazil. The methodology comprised a rigorous, systematic literature review spanning international and national academic databases, which grounded the identification, qualitative synthesis, and consolidation of 34 critical practices organized into six thematic dimensions: (1) Innovation Governance, (2) Organizational Culture, (3) Innovation Management, (4) Risks and Compliance, (5) Enabling Technologies, and (6) Human Resources and Innovation Structures. Based on this framework, a dual 5-point Likert scale diagnostic tool was engineered to capture executive perceptions regarding Strategic Relevance (Very Low to Very High) alongside actual operational Adoption Level (Not Used to Plenary). The instrument was exploratorily assess through a field pilot study engaging executive leaders across four representative insurance companies displaying distinct structural and market profiles. The empirical findings confirmed the universal applicability of the framework (85.3% of items rated as 100% applicable) while revealing a critical strategic execution gap: whereas cloud computing, digital platforms, and Application Programming Interfaces (APIs) demonstrate advanced to plenary adoption, foundational managerial dimensions—specifically Innovation Governance, Structured Ideation Processes, Change Management, and Risk Culture—exhibit incipient or intermediate maturity despite being rated with unanimous high strategic relevance by C-level executives. The study contributes a examined in a pilot organizational diagnostic artifact capable of measuring the gap between declared strategy and practical execution, providing executive guidance for resource allocation and laying a rigorous foundation for future large-scale academic research. http://ijaers.com/detail/innovation-management-and-critical-success-factors-in-the-brazilian-insurance-market-a-comprehensive-empirical-framework-sectoral-diagnostic-and-strategic-execution/ Marcelo Filipe Rodrigues Urbano, Alexandre Acácio de Andrade, Júlio Francisco Blumetti Facó, Gustavo Rodrigues Ribeiro da Silva http://ijaers.com/uploads/issue_files/3IJAERS-1020269-Innovation.pdf