Our Work

Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.

Experiment code and data for XAJ+5mm

July, 2026 • Dataset
Zhao, Jianfei, Luo, Panpan, Liang, Zhongmin

anonymous-rl-lab/SPOT: v0.0.2

July, 2026 • Software
anonymous-rl-lab

No description provided.

IMPROVEMENT OF ORTHODONTIC TREATMENT IN ADULT PATIENTS USING VARIOUS CORTICOTOMY TECHNIQUES BASED ON DIGITAL DENTISTRY

July, 2026 • Journal article
Zoxidjonov Jamshid Zoxidjonovich, Axrorova Malika Shavkatovna

This study aimed to evaluate the effectiveness of various corticotomy techniques based on digital dentistry in improving orthodontic treatment in adult patients. A total of 60 adult patients requiring…

Analisis Pengaruh Diabetes Mellitus Self Management terhadap Resiko Penyakit Komplikasi di Desa Saentis Kabupaten Deli Serdang (Studi Kasus pada Klinik Harapan Jaya)

July, 2026 • Publication • Madani: Jurnal Ilmiah Multidisiplin
Raysha Awlia Wijaya, Bayu Ariatama, Ermawati MH Siregar, Medi Elfira

CoReDD Bench: An Open Benchmark for Defect Detection in Code Review with Quantified Label Error

July, 2026 • Dataset
Kolanowski, Jawan

CoReDD Bench measures whether the defective lines in a proposed change can be identified before it is merged. A detector receives the change as it stood before integration and marks the lines it consi…

Uncertainty QuantificationBenchmarkLabel NoiseCode ReviewDefect Detection

MOTIBASYON SA PAGKATUTO NG MGA ATLETANG MAG-AARAL SA ASIGNATURANG FILIPINO AT MGA SALIK SA PAGTUTURO NG MGA GURO

July, 2026 • Journal article • Ignatian International Journal for Multidisciplinary Research
Rosales, Robelyn May T., Sinfuego, Roel A.

Hamon para sa mababang motibasyon ng mga atletang mag-aaral sa asignaturang Filipino dahil sa mabigat nilang tungkulin sa akademiko at palakasan. Sinuri ang mga manipestasyon ng motibasyon sa pagkatut…

GreenNet: Unified and Explainable AI Framework for Environmental and Remote Sensing Data

July, 2026 • Conference proceeding • Indiana Journal of Multidisciplinary Research
Saila, S, Rachel, Julanta Leela J, Nagaraj, Jayashree, Rajeswari, M

Abstract: Deep learning has great potential for environmental monitoring, yet real-world applications often face challenges from large-scale, multimodal, and noisy datasets. We introduce GreenNet, a f…

Deep learning, Explainable AI (XAI), Spatio-temporal modeling, Sustainable AI, GreenNet

Innovation Design, Mathematical Modeling, and Thermodynamic Analysis of a 700 W Thermophotovoltaic Generator System Based on Nanostructured Components

July, 2026 • Proposal
Keshavarz Azhdari, Milad

Thermophotovoltaic (TPV) systems present a promising solid-state technology for direct conversion of infrared thermal radiation into electricity. However, conventional TPV devices rely heavily on expe…

O'ZBEKISTON RESPUBLIKASIDA PEDAGOG XODIMLARGA KASBIY FAOLIYATI DAVOMIDA YETKAZILGAN ZARARNI QOPLASH: XUSUSIYATLARI, MUAMMOLARI VA YECHIMLARI

July, 2026 • Journal article
Anvarov Demirali Taxir o'g'li

Maqolada pedagog xodimlarning kasbiy faoliyati davomida ularning sog’lig’iga yetkazilgan zararni qoplashning huquqiy mexanizmlari - mehnat va fuqarolik huquqi tutashgan nuqtada - tahlil qi…

On Losses, Pauses, Jumps and the Wideband E-Model – IEEE Xplore Document

There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The

NUAV – a testbed for developing autonomous Unmanned Aerial Vehicles – IEEE Xplore Document

Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a

NUAV – a testbed for developing autonomous Unmanned Aerial Vehicles

 

Simulators as Drivers of Cutting Edge Research – IEEE Xplore Document

Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic

Simulators as Drivers of Cutting Edge Research

Evolutionary speech quality estimation in VoIP

A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context

Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Mod
Real-Time, Non-intrusive Evaluation of VoIP

VoIP speech quality estimation in a mixed context with genetic programming

An Evolutionary Approach to Speech Quality Estimation

Real-Time Non-Intrusive VoIP Evaluation Using Second Generation Network Processor

Non-intrusive quality evaluation of VoIP using genetic programming

 

Photo by Hackley Public Library

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