http://hdl.handle.net/20.500.12323/4023 Fri, 02 Oct 2026 15:29:43 GMT 2026-10-02T15:29:43Z http://hdl.handle.net/20.500.12323/8372 Title: Engineering audit protocol for trustworthy electricity-theft detection on non-stationary smart-meter data Authors: Akram, Hafiz Muhammad Azeem; Talatahari, Siamak; Jhangeer, Adil Abstract: Electricity theft is the dominant non-technical loss in advanced metering infrastructure, threatening smart-grid reliability and utility revenue worldwide. Despite a proliferation of deep-learning detectors, the data on which they are evaluated is rarely audited for leakage; undetected leakage in the evaluation pipeline can inflate the performance these detectors report. This paper reframes electricity-theft detection as a critical-infrastructure integrity problem and proposes a model-agnostic engineering audit that exposes such inflation before deployment. The audit applies four validation gates: a data-provenance audit, a temporal integrity check, a leakage detection gate, and a realistic distribution-shift test; results are reported under a three-tier disclosure standard of full population, stable regime, and audited cohort, with a 12-item checklist. On the State Grid Corporation of China dataset, whose missingness exhibits a 41.44 percentage-point structural break in a single month at January 2016, six of eight architectures lose 28.5% to 32.6% of their reported precision-recall area under the curve (PR-AUC; absolute drop 0.109 to 0.134) once the shortcut is removed. Customer-grouped split leakage is operationally negligible (maximum |ΔPR-AUC| = 0.0035), and an audit reveals detection reliability varies by a factor of seven across 22 subgroups. A permutation-importance probe identifies consumption scale and variability computed over observed days, together with a direct contribution from the missingness rate, as the signals correlated with the regime and available to every detector, indicating the likely mechanism of the inflation. The gap between reported and audited performance gives utilities a verification step that current reporting practice does not provide. Sat, 19 Sep 2026 00:00:00 GMT http://hdl.handle.net/20.500.12323/8372 2026-09-19T00:00:00Z http://hdl.handle.net/20.500.12323/8133 Title: Enhanced piezoelectric performance of multilayered piezoelectric nanogenerator based on the PVDF/PZT/graphene Electrospun for IoT-based remote monitoring Authors: Karakulak, Ertugrul; Paralı, Levent; Koç, Muhterem; Tatardar, Farida; Sarı, Ali; Mevsim, Ersoy; Fataliyeva, Valida Abstract: This research focused on improving the performance of piezoelectric nanogenerators by utilizing a piezoelectric nanogenerator (PNG) design that combines stacked piezoelectric electrospun nanofibers with conductive layers placed between them. A polyvinylidene fluoride (PVDF)/lead zirconate titanate (PZT)/unmodified graphene nanoplatelet (GNP) based multilayered structure (MLS) was produced as a parallel connection using a layer-bylayer assembly technique. At a vibrational frequency of 20 Hz, under a resistance load of 50 kΩ, the four-layered PNG reached an open-circuit voltage of 0.18 V(VRMS), a maximum electrical power of 0.166 µW (PRMS) by drawing a current of 1.82 µA (IRMS). The four-layered PNG, which exhibits high capacitance and low impedance characteristics, has increased the full charging voltage (3.96 V) to 80% compared to a single-layered PNG (2.2 V). Furthermore, the electrical power obtained from the four-layered PNG was approximately 4.38 times higher than the single-layered one. The resulting multilayered PNG (M-PNG) can be utilized effectively in self-powered wireless e-health systems for detecting human movement. Wed, 15 Oct 2025 00:00:00 GMT http://hdl.handle.net/20.500.12323/8133 2025-10-15T00:00:00Z http://hdl.handle.net/20.500.12323/7960 Title: Allelic diversity of Azerbaijani bread wheat (Triticum aestivum L.) by SSR markers Authors: Ojaghi, Javid; Nuriyeva, Sevinj; Salayeva, Samira; Eldarov, Mahammad; Akparov, Zeynal Abstract: The objectives of this research entailed studying genetic variation in 50 Azerbaijani wheat accessions from 6 different botanical varieties using simple sequence repeat (SSR) markers. On the basis of the seven SSR primers used in this work, 42 different alleles were observed among the wheat accessions studied with an average of six alleles per locus. Polymorphism information content (PIC) ranged from 0.428 to 0.772, revealing the existence of rich genetic diversity in Azerbaijani wheat accessions. The highest PIC values were calculated with the Xgwm190, Xgwm337, and Xgwm261 SSR primers with a mean value of 0.561. Cluster analysis representing the Nei genetic distance index among all samples divided the genotypes into nine separate groups. The ninth cluster included 12 genotypes, accounting for 24% of all genotypes analyzed. This group also included var. erythrospermum 3 and var. erythroleucon 9, which could not be distinguished based on the seven microsatellite markers; this may be due to their sharing of a similar genetic background. Samples of var. milturum botanical varieties were located at notable genetic distances from the other studied samples. These findings clearly indicate that SSR analysis can be used as a powerful tool for estimating the genotypic similarities, genetic diversity, and fingerprinting of Azerbaijani local wheat varieties. Mon, 21 Apr 2025 00:00:00 GMT http://hdl.handle.net/20.500.12323/7960 2025-04-21T00:00:00Z http://hdl.handle.net/20.500.12323/7415 Title: Exploring non-perturbative corrections in thermodynamics of static dirty black holes Authors: Soroushfar, Saheb; Pourhassan, Behnam; Sakallı, İzzet Abstract: This research delves into an extensive exploration of the thermodynamic characteristics exhibited by a contaminated black hole subject to a uniform electric field, within the theoretical framework of the Einstein-Nonlinear Electrodynamics (ENE)-dilaton theory. The investigation encompasses a thorough analysis of diverse thermodynamic facets, encompassing heat capacity, Helmholtz free energy, and internal energy. Through this comprehensive examination, valuable insights are provided into the distinctive behavior of the black hole when subjected to the influence of the electric field. Moreover, our study embarks on an exploration of the nuanced interplay between quantum effects and the thermodynamic profile, with a particular focus on scrutinizing the quantum-corrected entropy. This approach allows for a deeper understanding of the intricate relationship between quantum mechanics and the thermodynamic attributes exhibited by the system. By doing so, we aim to illuminate the non-perturbative corrections inherent in this intricate system, thereby contributing to a holistic comprehension of the altered thermodynamics characterizing dirty black holes within the confines of the specified theoretical framework. In essence, this research endeavors to uncover the subtleties of the modified thermodynamic landscape governing black holes tainted by external factors, specifically within the context of the ENE-dilaton theory. The outcomes of this study promise to extend our understanding of the intricate interactions within such complex systems, offering valuable insights into the non-perturbative corrections that manifest in their thermodynamic behavior. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.12323/7415 2024-01-01T00:00:00Z