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  • Dil Ke Alfaaz: Written by Kunal Roy

    par Kunal Roy ...
    When words fail, emotions speak…This book is a heartfelt collection of sad shayari and poems that flow straight from the soul. Each verse captures the raw pain of heartbreak, the silence of loneliness, and the depth of unspoken feelings.Written in simple yet powerful words, these shayaris reflect the emotions we all carry within — love, loss, longing, and tears that never find their voice. Every ... En savoir plus

    $0.99 CAD ou Gratuit avec Kobo Plus

  • One Day, Ladakh

    One Day Ladakh, #1

    par Kunal Roy ...
    Collections Livre 1 - One Day Ladakh
    One Day Ladakh is more than just a travel story; it's the journey of a dreamer chasing the rugged beauty of the Himalayas. From the first spark of adventure to the thrilling preparation for the ultimate ride, this book captures the excitement, challenges, and determination of a young rider. Follow the highs and lows as he navigates family responsibilities, financial hurdles, and the inner ... En savoir plus

    $2.99 CAD ou Gratuit avec Kobo Plus

  • অন্তহীন অপেক্ষা

    par Kunal Roy ...
    অন্তহীন অপেক্ষা, নামেই যেন লুকিয়ে আছে এক গভীর দীর্ঘশ্বাস, এক চিরন্তন অপেক্ষার গল্প। এই কাব্যগ্রন্থে জীবনের আনন্দ বেদনা, ভালোবাসা আর একাকিত্বকে ধরা হয়েছে হৃদয়ের গভীর থেকে উঠে আসা কথামালায়।এই বই কেবলমাত্র কিছু কবিতার সমাহার নয়, বরং এটি এক যাত্রা অন্তরের ভেতরে জমে থাকা অনুভূতির পথে হাঁটার এক সাথি। এখানে প্রেম আছে, বিরহ আছে, আছে জীবনের প্রতি মমতা, আবার আছে আশা-নিরাশার দোলাচল। প্রতিটি কবিতা যেন হ ... En savoir plus

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  • Machine Learning and Deep Learning in Drug Design

    Modifié par Kunal Roy, Arkaprava Banerjee ...
    Collections Livre 87 - Drug Discovery Series
    Machine learning (ML) and deep learning (DL) are reshaping the landscape of drug design. This comprehensive volume explores how these technologies are applied across the entire drug discovery pipeline—from target identification and protein structure prediction to virtual screening, pharmacokinetic modelling, and drug repurposing.Bridging cheminformatics, chemometrics, and computational science, ... En savoir plus

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  • Cheminformatic Modeling and Data Gap Filling for a Green and Sustainable Environment

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    Collections series Advances in Green and Sustainable Chemistry
    Cheminformatic Modelling and Data Gap Filling for a Green and Sustainable Environment covers the theory and practices of chemical informatics, focusing on modeling various properties and endpoints related to chemicals for improved chemical management and the design of safer chemicals to promote environmental sustainability. Across four sections, the book outlines modeling techniques such as ... En savoir plus

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  • Springer Handbook of Chem- and Bioinformatics

    Collections series Reference Module Chemistry, Materials and Physics
    The Springer Handbook of Chem- and Bioinformatics provides an introduction as well as a detailed description of the application of various techniques used in chemo- and bioinformatics. It covers basic topics such as a discussion of computational techniques used in the predictions of structures, properties, and dynamics of small compounds, macromolecules, and their complexes. Diverse applications ... En savoir plus

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  • Activity Cliffs

    Where QSAR Predictions Fail

    Collections series Chemistry and Material Science (R0)
    This brief introduces the readers of predictive cheminformatics to the concept of cliffs in the structure-activity landscape, which may greatly affect the data set modelability and the quality of predictions, hence generating disappointment from the performance of Quantitative Structure-Activity Relationship (QSAR) models. Although QSAR models are based on the assumption of a smooth activity ... En savoir plus

    $64.99 CAD

  • q-RASAR

    A Path to Predictive Cheminformatics

    Collections series Chemistry and Material Science (R0)
    This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It ... En savoir plus

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  • Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development

    Modifié par Kunal Roy ...
    Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning ... En savoir plus

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  • Chemometrics and Cheminformatics in Aquatic Toxicology

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    CHEMOMETRICS AND CHEMINFORMATICS IN AQUATIC TOXICOLOGYExplore chemometric and cheminformatic techniques and tools in aquatic toxicologyChemometrics and Cheminformatics in Aquatic Toxicology delivers an exploration of the existing and emerging problems of contamination of the aquatic environment through various metal and organic pollutants, including industrial chemicals, pharmaceuticals, cosmetics ... En savoir plus

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  • Materials Informatics II

    Software Tools and Databases

    Modifié par Kunal Roy, Arkaprava Banerjee ...
    Collections series Chemistry and Material Science (R0)
    This contributed volume explores the application of machine learning in predictive modeling within the fields of materials science, nanotechnology, and cheminformatics. It covers a range of topics, including electronic properties of metal nanoclusters, carbon quantum dots, toxicity assessments of nanomaterials, and predictive modeling for fullerenes and perovskite materials. Additionally, the book ... En savoir plus

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  • Materials Informatics III

    Polymers, Solvents and Energetic Materials

    Modifié par Kunal Roy, Arkaprava Banerjee ...
    Collections series Chemistry and Material Science (R0)
    This contributed volumefocuses on the application of machine learning and cheminformatics in predictive modeling for organic materials, polymers, solvents, and energetic materials. It provides an in-depth look at how machine learning is utilized to predict key properties of polymers, deep eutectic solvents, and ionic liquids, as well as to improve safety and performance in the study of energetic ... En savoir plus

    $280.49 CAD