http://hdl.handle.net/123456789/4 FP Sat, 13 Jun 2026 14:41:01 GMT 2026-06-13T14:41:01Z http://hdl.handle.net/123456789/531 Title: A Multi-Scale Inverted Spatial-Temporal Network for EEG-Based Emotion Recognition Authors: Kokitkar, Vinod R.; Ghuli, Anand Abstract: Understanding human emotional states through Electroencephalography (EEG) signals has gained significant attention due to its applications in healthcare, human-computer interaction, and affective computing. However, existing approaches often struggle to model temporal dynamics and spatial dependencies effectively, which limits recognition accuracy. The primary research gap lies in the inability of conventional and recent models to simultaneously capture multi-scale temporal patterns while preserving channel-specific information over time. To address this limitation, this study proposes a MultiScale Inverted Spatial-Temporal Network (MIST-E) for EEG-based emotion recognition. MIST-E constructs multi-scale representations and employs an inverted embedding strategy to maintain temporal continuity and spatial channel relationships. In addition, a newly designed CNN is used to extract discriminative features for reliable classification. Experimental results on the DEAP dataset demonstrate that MIST-E effectively captures complex spatial-temporal dependencies, achieving 90.56±1.02% accuracy for valence and 91.12±0.98% for arousal. These findings indicate that MIST-E provides improved accuracy compared to existing methods. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/123456789/531 2026-01-01T00:00:00Z http://hdl.handle.net/123456789/509 Title: Review on 3-D printed ABS polymer for rotary control elements Authors: Vhatkar, Mahendra Nana; Patil, Geetanjali Vijay; Bhavi, Iresh; Ali, Syed Abbas Abstract: The purpose of this sudy is most popular topic in additive manufacturing (AM) for defining the various three-dimensional (3D) materials according to their desires is Acrylonitrile Butadiene Styrene (ABS). Depending on the particular 3D materials, the ABS concentration is used differently. To increase the ABS polymer’s strength, various reinforcement materials are available. The ABS polymer and the three reinforced materials have been covered in this article. Kevlar, carbon fibre (CF) and fibre glass (FG) are the three reinforced materials. Wed, 01 Jan 2025 00:00:00 GMT http://hdl.handle.net/123456789/509 2025-01-01T00:00:00Z http://hdl.handle.net/123456789/498 Title: Electrochemical tracking of sulphadiazine with a SnO₂-PANI functionalized carbon paste electrode Authors: Sajjan, Aishwarya S.; Das, Swastika N.; Chadchan, Kailash S.; Malladi, Ramesh S. Abstract: Sulphadiazine (SDZINE) is widely used in clinical and veterinary practice, and its residues in food and envi ronmental matrices require simple and cost-effective detection approaches. In this study, a SnO₂-polyaniline nanocomposite-modified carbon paste electrode (SnO₂–PANI/MCPE) was fabricated for the electrochemical detection of SDZINE. SnO₂ and PANI were synthesised and incorporated into a modified carbon paste electrode, and the material was characterised using SEM-EDX, XRD, and FTIR. Electrochemical performance was evaluated using cyclic voltammetry and differential pulse voltammetry in 0.2 M phosphate buffer solution at pH 7.4. The SnO₂-PANI/MCPE showed enhanced anodic response compared with the bare carbon paste electrode (BCPE) and individually modified electrodes, indicating improved electrocatalytic activity toward SDZINE oxidation. Scan rate studies suggested a mixed diffusion-adsorption controlled process with significant adsorption contribu tion, while pH studies supported proton involvement in the oxidation process. Under optimised conditions, the sensor exhibited a linear response over 40–280 µM, with a sensitivity of 0.019639 µA µM⁻¹ , an LOD of 75.72 µM, and an LOQ of 252.41 µM. The sensor showed good anti-interference performance against common matrix species and acceptable stability, repeatability, and reproducibility. Application in spiked milk samples produced recoveries of 95.6–97.5%, supporting the preliminary practical applicability of the SnO₂-PANI/MCPE platform for SDZINE detection. Fri, 29 May 2026 00:00:00 GMT http://hdl.handle.net/123456789/498 2026-05-29T00:00:00Z http://hdl.handle.net/123456789/497 Title: Emerging Trends in Additive Manufacturing for Thermoelectric Devices: Materials, Structures, and Engineering Approaches Authors: Kondaguli, R S; Kumar, Inder; Hiremath, C R; Malaji, P V; Makireddypalli, Somashekara Adinarayanappa; Mallik, Ramesh Chandra Abstract: Energyharvestingisgainingimportanceinthe21st century,withthermoelectric(TE)technologyoferingapromising methodforconvertingthermalenergyintoelectricalenergy. However,theapplicationofTEdevicesremainsrelativelylow becauseofthelimitationsofconventionalmanufacturingmethods. Fabricatingcomplex-shapedTEdevicesusingtraditionalmanu- facturingprocessesischallengingandleadstoalowefciency. Unlikeconventionalsubtractivemethods,additivemanufacturing (AM)buildsthree-dimensional(3D)objectslayerbylayer, enablingthecreationofintricateandcomplexstructureswith precision.ThisstudyexploresrecenttrendsinAMofthermo- electricsystems,withafocusonmaterials,synthesismethods,and devicefabrication.Italsodiscussesthechallengesassociatedwith theseAMtechniquesandexplorespotentialareasforimprovement.RecentstudieshaveshownthatAMcanproducethermoelectric unitswithhollowandlayeredstructures,enhancingtemperaturegradientsandpowerdensitycomparedwithconventionaldesigns.TheabilitytocustomizegeometriesthroughAMoferspromisingopportunitiestoenhancetheperformanceoftheTEmaterialsand devices.AMtechnologiescanproducehighlyefcient,functionallygradedTEdevices.Byenablingrapidprototypingandhigh-performancestructures,AMcanimprovetheefciencyandapplicationoftheTEmaterials.Futureworkfocusesonfurther advancingtheseAMtechniquesbyintegrationwithmachinelearning(ML)anddevelopmentofmultimaterialTEdevices. Mon, 01 Jun 2026 00:00:00 GMT http://hdl.handle.net/123456789/497 2026-06-01T00:00:00Z