Efficient scheduling of multiple software projects for work continuity and identical completion time by Abdulrahman Aldhubaiban, Ali AlMatouq

Get full text

QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…Precise diagnosis is challenging due to subtle, varied symptoms. While classical deep learning (DL) models like CNNs and ResNet's are widely used, they face resource and accuracy limitations. …”
Get full text

Deep learning approach with ConvNeXt-SE-attn model for in vitro oral squamous cell carcinoma and chemotherapy analysis by Abhay Nath, Om Roy, Priyanka Silveri, Sanskruti Patel

“…Our method applies residual connections with Squeeze-and-Excitation blocks along with hybrid attention systems and enhanced activation functions and optimization algorithms to boost gradient movement throughout feature extraction. …”
Get full text

Experimental Investigation of the Effect of Solvent Type and Its Concentration on the Performance of ES-SAGD by Sajjad Esmaeili, Brij Maini, Zain Ul Abidin, Apostolos Kantzas

Get full text

A dereverberation beamforming algorithm for noise source localization in anechoic and semi-reverberant environments by R. Singh, A. Mimani, R. Kumar

“…Additionally, the CLEAN-SC deconvolution applied to the DBF maps of the mixer-grinder significantly improved the source resolution. • DBF algorithm is presented based on CCM filtering using an optimized Hanning window to significantly improve the localization accuracy of noise sources within λ/20 uncertainty. • Trial-and-error method is used to determine the optimal Hanning window width, which depends on frequency, noise source and surroundings. • It was necessary to implement DBF even in an anechoic chamber to accurately localize noise sources generated by engineering applications.…”
Get full text

Development and testing of range of motion driven motor unit recruitment device for knee rehabilitation: A randomized controlled trial by Manoj Kumar Sharma, Sarika Chaudhary, Shweta Shenoy

“…Such advancements would not only improve muscle strengthening outcomes but also enhance participant adherence through more effective cortical and peripheral neuromuscular engagement. • Development of neuromuscular electrical stimulation (NMES) device to replicate natural neuromuscular activation patterns through bio-inspired stimulation protocols. • Engineered to mitigate existing limitations of conventional NMES systems, optimizing therapeutic applications for neuromuscular re-education and functional recovery. • Integrates muscle synergy principles, enabling synchronized synergistic, agonist and antagonist activation for enhanced cortical and peripheral neuromuscular engagement and optimize functional rehabilitation outcomes. • Advances rehabilitation strategies by combining dual focus on muscular reconditioning and neural adaptation for holistic recovery. • Demonstrates potential to amplify strength gains while fostering neuroplasticity, supporting long-term functional recovery in neuromuscular rehabilitation.…”
Get full text

A space-time least-squares support vector regression scheme for inverse source problem of the time-fractional wave equation by A. Mohammadi, A. Tari Marzabad

Get full text

Statistical inferences and applications of nonparametric regression models based on fourier series by Suliyanto, Toha Saifudin, Marisa Rifada, Dita Amelia

“…This study develops statistical inference methods, including estimation and hypothesis testing procedures, which consist of partial and simultaneous tests for nonparametric regression models based on Fourier series approximations. …”
Get full text

Standardized sulforhodamine b colorimetric cell proliferation assay for anticancer activity screening in educational and research laboratories by Joseph A. Bauer, Annette M. Sysel, Amy J. Heston, Michael J. Dunphy

“…The sulforhodamine B (SRB) assay is a robust and cost-effective methods for assessing cellular proliferation and cytotoxicity in vitro. …”
Get full text

Experimental study on the effect of microwave heating power on the drying behavior of onion slices by G Srinivas, G Bhanu Radhika, BVS Praveen

“…Microwave drying has become a highly effective and energy-efficient technique for the processing of agricultural products, mainly onion slices. This method proves to be advantageous over traditional methods of drying like sun drying and hot-air drying, which are often accompanied by longer periods of drying time and quality loss in terms of color, texture, and nutrient content. …”
Get full text

The game of language learning and rewiring biocognitive receptors by Sri Takshara K, Bhuvaneswari G, T.S. Pradeep Kumar

“…By fostering low-stress, immersive environments, it triggers positive epigenetic changes, enhancing long-term cognitive flexibility. This method article presents an interdisciplinary inclusive scientific framework that unites gamification, technology, epigenetics, and neuroscience, empowering learners and promoting sustainable well-being, while laying the groundwork for intergenerational academic and personal growth. • To propose a teaching methodology that aims to bridge gaps in traditional and game based language teaching by integrating neuroscience and epigenetics, creating an inclusive framework tailored to meet the unique needs of visually impaired learners. • The method emphasizes creating stress-free, rewarding educational environments that induce neural and epigenetic changes. …”
Get full text

Extending lifespan: Wear and non-wear component analysis in end-of-life products by Waqas Ahmed, Jenny Bäckstrand, Vanajah Siva, Niklas Sarius, Hans-Åke Sundberg

“…The concept of circular economy promotes recycling or recovering to maximize resource efficiency and to avoid landfill from end-of-life products, though often sub-optimally. Our method introduces a simple, yet novel, concept grounded in circular economy principles to extend the lifespan of end-of-life products’ components. …”
Get full text

From lab to real-life: A three-stage validation of wearable technology for stress monitoring by Basil A. Darwish, Shafiq Ul Rehman, Ibrahim Sadek, Nancy M. Salem, Ghada Kareem, Lamees N. Mahmoud

“…Stress negatively impacts health, contributing to hypertension, cardiovascular diseases, and immune dysfunction. While conventional diagnostic methods, such as self-reported questionnaires and basic physiological measurements, often lack the objectivity and precision needed for effective stress management, wearable devices present a promising avenue for early stress detection and management. …”
Get full text

Bayesian spatio-temporal conditional autoregressive localized modeling techniques for socioeconomic factors and stunting in Indonesia by Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono, Dian Handayani, Nurwan Nurwan

“…Assuming a Poisson likelihood for stunting counts, the optimal model was estimated using Markov Chain Monte Carlo methods and included two covariates, namely the poverty rate and the incidence of low birth weight, with up to five spatial clusters. …”
Get full text

An integrated geospatial modelling framework of hybrid microgrid sizing for rural electrification planning by Berino Francisco Silinto, Darlain Edeme, Silvia Corigliano, Aleksandar Dimovski, Marco Merlo, Christian Zuidema, André Faaij

Get full text

Quantitative evaluation of hindlimb grip strength in mice as a measure of neuromuscular function by Yaochao Zheng, Alexander Lunn, Jinghui Gao, Hongyu Chen, Yao Yao

“…This study introduces an optimized method for assessing hindlimb grip strength that improves consistency and accessibility. • It can be applied to measure both hindlimbs simultaneously, allowing for repeatable pre- and post-treatment comparisons. • It enables single-hindlimb evaluation, supporting self-comparisons. • This method is sensitive, user-friendly, and suitable for researchers of all expertise levels. …”
Get full text

Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams by Muhammad Amir, Jamshaid Ul Rahman, Ali Hasan Ali, Ali Raza, Zaid Ameen Abduljabbar, Husam A. Neamah

“…The Galerkin technique is employed to calculate the beam's deflection, while the parallel plate capacitor model simulates the electric field. …”
Get full text

Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms by Sherly Ardhya Garini, Ary Mazharuddin Shiddiqi, Widya Utama, Alif Nurdien Fitrah Insani

Get full text

Estimation of parameters and hypothesis testing of multivariate spatial autoregressive model by Sutikno, Purhadi, Fachrunisah, Fajar Dwi Cahyoko

“…Moreover, existing estimation methods often rely on pseudo-distributions, which may not accurately reflect the underlying data characteristics. …”
Get full text

An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean by Xiuni Li, Menggen Chen, Shuyuan He, Mei Xu, Yao Zhao, Weiguo Liu

Get full text