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    Walchand College of Engineering, Sangli

    院校
    855论文总数
    7,100引用总数

    Walchand College of Engineering is a college in the city of Sangli, Maharashtra, India. The WCE campus is situated on nearly 90 acres of land in Vishrambag, roughly midway between the twin cities of Sangli and Miraj.The college was established in 1947 by the Dhondumama Sathe and began with an undergraduate course in Civil Engineering with a capacity of 60 students. It was affiliated with Bombay University in 1947. After Pune University was set up in 1948, the college became affiliated with Pune University. In 1955, the college was renamed after Walchand Hirachand, an industrialist. Since the establishment of Shivaji University, at Kolhapur in 1962, Walchand College of Engineering, Sangli has been affiliated with Shivaji University. Since 2007, it has been an autonomous college offering the B.Tech. degree in Maharashtra with 'financial and academic autonomy'. It is known for its vast campus and placement.

    论文量&引用量时间轴

    机构学者

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    Shefali Sonavane
    Shefali Sonavane
    Walchand College of Engineering, Sangli
    论文:35引用:0H-index:0
    Shaila Subbaraman
    Shaila Subbaraman
    Department of Electronics Engineering;Walchand College of Engineering;Department of Electronics Engineering, Walchand College of Engineering
    论文:30引用:0H-index:0
    Dinesh B Kulkarni
    Dinesh B Kulkarni
    Radiation Safety Systems Division, Bhabha Atomic Research Centre
    论文:25引用:0H-index:0
    P. J. Kulkarni
    P. J. Kulkarni
    Walchand College of Engineering, Sangli
    论文:22引用:0H-index:0
    Dr. Sachin Ruikar
    Dr. Sachin Ruikar
    Walchand College of Engineering, Sangli
    论文:19引用:0H-index:0
    Dr. Anantkumar J. Umbarkar
    Dr. Anantkumar J. Umbarkar
    Walchand College of Engineering, Sangli, MS., Inida
    论文:19引用:0H-index:0
    G.R. Munavalli
    G.R. Munavalli
    Department of Civil Engineering, Indian Institute of Science
    论文:19引用:0H-index:0
    Sagar Sapkal
    Sagar Sapkal
    Walchand College of Engineering, Sangli
    论文:19引用:0H-index:0
    Shraddha Deshpande
    Shraddha Deshpande
    Systems and Control Engineering
    论文:16引用:0H-index:0

    论文(855)

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    1Adaptive Electric Vehicle Charging Model with Effective Photovoltaic Integration Using Energy Management Interface for Commercial Buildings
    Samruddhi Chougule, R. P. Hasabe, S. S. Medhekar

    The power infrastructure is facing difficulties due to the explosive growth in the electric vehicle industry. Especially because of the rise in electricity consumption brought by the traditional grid-dependent charging. Reliance on grid-based charging is the primary cause of this strain on the power system infrastructure. In addition to burdening the infrastructure, relying solely on the grid lessens the environmental advantages of EV adoption. A conventional EV charging system increases carbon emissions, reduces the benefits of carbon credits associated with clean energy usage and tend to increase the health issues. To recover this, the proposed work develops a novel sustainable EV charging system for commercial buildings using photovoltaic forecasting. The system integrates PV as a primary/preferable energy source, supported by battery storage and the electrical grid to maintain supply during low generation and peak demand periods. In this work, a charging system provides real-time data for PV forecasting, which is to be used for selecting the charging source as per the availability of solar energy and the energy needed, which avoids user inconvenience in trip planning. For the charging schedule, we can select either greedy charging mode or adaptive mode, and according to that mode selection EV gets charged. In this paper, the proposed framework is specially designed for commercial buildings where EVs remain parked during sunlight hours, which enables cost-effective and eco-friendly charging.

    20262026 IEEE 6th International Conference on Sustainable Energy and Future Electric Transportation (SEF...(2026)
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    2Role of Metal Ions in Biological Systems: Structure, Function and Therapeutic Implications
    Neeraj R. Prasad, P. D. Patil,Saurabh R. Prasad, Sachin Karmuse, Anil Powar, Dodla S. Rao, B. M. Jamadar, Avinash Harale, Prashant Sarvalkar, Anilkumar Vaidya, Sharad Kamble, A. A. Ramteke

    The interplay between metal ions and biological macromolecules is fundamental to life, governing processes such as enzymatic catalysis, electron transfer, and structural stability. This review, “Role of Metal Ions in Biological Systems: Structure, Function, and Therapeutic Implications,” summarizes the roles of essential and non-essential metals in the human body. Metalloproteins and metalloenzymes utilize the coordination chemistry, redox properties, and Lewis acidity of ions like Fe2+, Cu2+, Zn2+ Mg2+, and Mn2+ to facilitate complex biochemical reactions. Metals are categorized based on their biological importance, highlighting both structural and functional roles. Zinc stabilizes protein structures such as zinc fingers involved in DNA binding, while iron is crucial for oxygen transport in hemoglobin and electron transfer in mitochondria. Proper metal ion homeostasis is essential, as imbalance can lead to disorders such as iron-deficiency anemia, immune dysfunction, or toxicity from metal overload and heavy metals. The review also addresses therapeutic and diagnostic applications. Platinum-based drugs like cisplatin, carboplatin, and oxaliplatin are widely used in cancer treatment due to their DNA cross-linking ability. In diagnostics, gadolinium enhances MRI imaging, while technetium-99m is used in nuclear medicine. Emerging applications, including gold nanoparticles, further demonstrate the expanding role of metals in modern medicine.

    2026ES General(2026)
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    3COVID-19 Detection Based on Chest X-ray Images Using Deep Learning
    Apurva P. Raut, Vikas N. Honmane, Nandinee Mudegol

    Under these circumstances, when we are still under the threat of various strains of coronavirus, RT-PCR is a long manual testing procedure that may generally result in a few hours to two days. This proposed system looks to create a model that uses a radiology based technique for detection. X-ray images are used for detecting the coronavirus. The aim of this study is to detect the patients whose x-rays are taken to check whether they are affected by COVID-19 or not. The dataset contains X-ray scans of people with Pneumonia, Normal and COVID-19 patients. This research work contains the implementation of VGG19, INCEPTION V3 and ResNet-50, the three algorithms, and a comparison of their results. For the image classification task, Convolution Neural Network (CNN) models take a crucial role. Evaluation of the model is performed using different metrics.

    2026Digitalisation and Artificial Intelligence Using Mathematical and Computational Approaches(2026)
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    4Label-Free Fabric Defect Localisation: A Comparative Study of Feature-Space Autoencoders and PatchCore on Woven Textile Images
    Balaji Jadhav, Nitin Gavankar

    Pixel-space reconstruction autoencoders exhibit posterior collapse on periodic woven textile textures, reconstructing a flat grey mean regardless of input. This paper documents this failure across three architecture variants and proposes the Feature-Space Autoencoder (FAE) as a principled alternative. FAE extracts frozen EfficientNet-B0 patch embeddings (196 patches × 80 dimensions) and trains a shallow MLP autoencoder, achieving convergence (loss 0.133 → 0.091) and Spearman ρ = 0.715 with PatchCore. PatchCore with greedy coreset (2415 of 24157 patches) correctly localises three defect categories (structural holes, score 110.1 vs. 27.0 baseline; surface contamination, 69–84; yarn irregularities, 65–69) without spatial supervision. GradCAM++ produces spatially consistent attribution maps confirming defect localisation. FAE achieves 38 img/s CPU throughput (26.3 ms), 10.8× faster than classical feature extraction. Cross-paradigm Spearman ρ = 0.20–0.25 between classical texture statistics and deep patch-level methods confirms they detect complementary defect populations, motivating ensemble fusion.

    20262026 7th International Conference on Inventive Research in Computing Applications (ICIRCA)(2026)
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    5Reinforced Concrete Infrastructure Longevity: Integrating Natural Chloride Exposure Protocols and Prediction Modelling
    M. M. Maske, N. K. Patil, A. D. Katdare

    In coastal and de-icing environments, chloride-induced corrosion is the primary durability challenge for reinforced concrete (RC) structures. This study investigated natural wet-dry chloride exposure effects on flexural strength in eighteen M20 concrete beams (700 × 150 × 300 mm) with Fe500D reinforcement subjected to 12-h wetting–drying cycles with 5

    2026Innovative Infrastructure Solutions(2026)
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    合作机构(100)

    希瓦吉大学合作论文 23
    印度理工学院合作论文 20
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    浦那大学合作论文 12
    Vishwakarma Institute of Information Technology合作论文 8
    DKTE Society's Textile and Engineering Institute合作论文 6
    United College of Engineering & Research合作论文 5
    印度理工学院罗尔基合作论文 5
    Instituto Nacional de Tecnologia,Ministry of Science, Technology and Innovation合作论文 5
    Government Engineering College, Thrissur合作论文 4

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