Advances in Research

A Boundary-Adapted Crank–Nicolson-Induced Mamadu–Njoseh Basis Functions for the Solution of Parabolic Partial Differential Equations

Ebimene James Mamadu, Jude Chukwuyem Nwankwo, Newton Ighomaro Okposo, Ebikonbo-owei Anthony Mamadu, Nkonyeasua Ignatius Njoseh, Henrietta Ify Ojarikre & Jonathan Tsetimi · Advances in Research · 2026

A boundary-adapted Crank–Nicolson-induced Mamadu–Njoseh basis-functions (CN-MNBF) framework is developed for the numerical solution of one-dimensional parabolic partial differential equations. The method combines a weighted Mamadu–Njoseh polynomial approximation in space with Cra...

Open access Research Article 10.9734/air/2026/v27i61751

Automated Genetic Algorithm-Based Impedance Bandwidth Optimization of a Triangular U-Slotted Microstrip Patch Antenna Using Python and HFSS

Mitesh Upreti, Sanjay Mathur & Neha Singh · Advances in Research · 2026

Microstrip patch antenna optimisation using full-wave electromagnetic simulations can become computationally expensive when multiple geometrical parameters are involved. This paper presents a Python–PyAEDT-based automated optimisation framework for enhancing the impedance bandwid...

Open access Research Article 10.9734/air/2026/v27i61752

Predictive Sentiment Analysis and Proactive Service Intelligence: Implications for Long-Term Customer Loyalty and Retention-A Scoping Review

Rahmat Kofoworola Sanusi, Temiloluwa Paul Adetola, Abimbola Serifat Oreoluwa & Sampson Boateng · Advances in Research · 2026

Background: Predictive sentiment analysis and proactive service intelligence are increasingly used to identify deteriorating customer relationships and support targeted service responses, yet evidence is distributed across marketing, customer relationship management, service rese...

Open access Research Article 10.9734/air/2026/v27i61753

A Review of Gate Driving and Soft Switching in Silicon Carbide Dual Active Bridge Converters for Electric Vehicle Charging

Neha Singh, Mitesh Upreti & Deep Sehgal · Advances in Research · 2026

Aims: This review examines the interaction of device commutation, gate-driving timing, modulation and protection in silicon carbide (SiC) dual active bridge (DAB) converters intended for electric vehicle charging. Study Design: A focused narrative review of published journal evid...

Open access Research Article 10.9734/air/2026/v27i51749

Thermal Management, Packaging, and Electro-thermal Co-design of Wide- and Ultra-Wide-Bandgap Power Devices

Neha Singh & Deep Sehgal · Advances in Research · 2026

Background: Wide- and ultra-wide-bandgap (WBG/UWBG) power devices offer higher blocking-field capabilities and faster switching, but increasing power density presents significant thermal management and packaging challenges. Heat dissipation depends on semiconductor properties, th...

Open access Research Article 10.9734/air/2026/v27i61750

Sociocultural Conditions and Health-Service Access Challenges in the Javaé Community of Boa Esperança Village, Tocantins, Brazil: A Qualitative Study for Local Diagnosis and Public Policy Implications

Jussara Resende Costa, Marcilene de Assis Alves Araújo, Mateus Silva Santos, Ludmila Franco, Roger Antonio Morais Queiroz, Roberto Neves Prado Telles Neto, Maria Eduarda Franco Godoy Tadeu, Laura Nascimento Barroso, Yana Camargo & Yuri Fortaleza Passos Martins · Advances in Research · 2026

Aims: To analyse the social, cultural, educational and environmental conditions of the Javaé (Inỹ) community of Boa Esperança Village on Bananal Island, Tocantins, Brazil, and to identify locally reported challenges and assets relevant to public policy and community-led initiativ...

Open access Research Article 10.9734/air/2026/v27i51748

AI-Mediated Organizational Communication and Crisis Management: Trust, Transparency, and Stakeholder Perception

Ilham Bangsim Mohammed, Temiloluwa Paul Adetola & Nawas Abubakar · Advances in Research · 2026

Artificial intelligence is becoming embedded in organisational communication through message generation, conversational agents, monitoring systems, decision support, and automated service recovery. During crises, these functions offer speed, scale, consistency, and continuous ava...

Open access Research Article 10.9734/air/2026/v27i51747

Artificial Neural Networks and Deep Learning: A Review of Concepts, Architectures, Advances and Applications

Mitesh Upreti & Sanjay Mathur · Advances in Research · 2026

Artificial neural networks (ANNs) and deep learning are widely used to identify patterns in complex data. This review describes the development of neural networks and explains key learning methods and architectures, including feed-forward networks, convolutional neural networks,...

Open access Research Article 10.9734/air/2026/v27i51745

Comparative Analysis of Machine Learning Algorithms for Dermoscopic Skin Lesion Recognition

Bhagyashri S. Sonune & Ayaz Ahmed Faridi · Advances in Research · 2026

Automated classification of dermoscopic skin lesions can support computer-aided diagnosis, but performance depends on both the classifier and the image representation. This study compares six classical machine-learning algorithms—KNN, SVM-RBF, SVM-Linear, LR, RF, and XGBoost—for...

Open access Research Article 10.9734/air/2026/v27i51746

An Exploratory Application of Self-Organizing Maps and Support Vector Machines for Hydrochemical Pattern Recognition and Risk Profiling in Data-Scarce Environments

D. M. Ogbonnaya, C. M. Okolo & O. T. Emenaha · Advances in Research · 2026

Effective water-quality assessment in data-limited environments requires analytical approaches that extract meaningful patterns from relatively small datasets. This study evaluates the complementary application of Self-Organizing Maps (SOM) and Support Vector Machines (SVM) for h...

Open access Research Article 10.9734/air/2026/v27i51744