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Recent research
- Engineering & TechnologyOpen access
Machine learning (ML) has moved from a promisingaddition to battery research to a load-bearing component ofmodern battery management systems (BMS), yet the validationpractices behind the literature’s accuracy claims have neverbeen systematically measured. This paper presents a st...
- Engineering & TechnologyOpen access
Machine learning (ML) has become a load-bearing component of modern battery management systems (BMS), yet the validation practices behind the literature's accuracy claims have never been systematically measured. This deposit contains the complete evidence base and analysis pipeli...
- Engineering & TechnologyOpen access
Transformerless H5 inverters serve the 5 kW residential photovoltaic (PV) segment, but their common-mode (CM) leakage current follows the rain and humidity-driven parasitic capacitance Cpv — which, to our knowledge, no prior work connects to a resonance-safe choke size. We propos...
- Engineering & TechnologyOpen access
The rapid rise of lead-halide perovskite solar cells has been tempered by lead toxicity, motivating a search for lead-free absorbers with comparable optoelec- tronics. Rubidium germanium iodide (RbGeI3) offers a direct, tunable bandgap, strong absorption, and improved environment...
- AI & ComputingOpen access
Is Wireless Security Ready for the AI Era? Evidence from a Curated Corpus of 130 Studies, 2020–2026
Machine learning (ML) is now central to published radio-link authentication research — and simultaneously the adversary’s standard toolkit. This scoping review classifies 130 curated studies (2020–2026): a 121-study core on ML for wireless-link security or attacks on it (84 defen...
- Materials & EnergyOpen access
Revised version of manuscript 25195, under review at the InternationalJournal of Power Electronics and Drive Systems (IJPEDS). **Abstract** This paper addresses the monsoon yield gap of the IDCOL Solar Home System(SHS) programme: conventional reactive Perturb-and-Observe (P&O) MP...